UbiComp '18: Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers

In this paper, we propose a battery-free place recognition system that utilizes solar-cells as a sensor for localization. Our system combines multiple solar cells having different characteristics against the light environment. As an initial work, we ...

Grief resulting from the death of a deceased loved one has a great impact on both the personal and social life styles of the bereaved persons. However, this has become important to explore within the technological context considering how technologies ...

In this work, we discuss the application of printed haptic actuators based on Electroactive Polymer (EAP) for HCI. We envision a printed haptic layer that can be used to augment objects and surfaces with feedback. The printing process offers unique ...

Moving livestock from one location to another is a tedious but necessary task in many farmland environments. Agersens, an agri-tech startup, is launching eShepherd: a world first autonomous shepherd based on virtual fencing technology. This IoT device ...

We test ActiVibe, a previously reported vibrotactile method for communicating numeric values between 1-10, in the face of an audio distractor task, as well as when conveying not just one numeric value in a single message, but three values in succession. ...

Smiling and saying hello to people can possibly increase social inclusion or belongingness, which is one of the basic needs of human. We present HelloBot, a social robot that proactively gives greetings to passersby and reacts to their smiles to induce ...

Emotion regulation is an important part of humans' life and it is not only negative emotion that is harmful but excessive positive emotion could also prevent someone from achieving their goals. For example, high excitement that prevents someone from ...

Visual crowdsensing (VCS) uses built-in cameras of smart devices and asks people to capture the details of interesting objects or views in the real world. To decrease the incentive costs, we propose the task allocation method to assign light subtasks of ...

The car sharing market is growing at breakneck speed. Due to the continuing trend of shared invehicles, various new functions will be introduced into those invehicles. Accordingly, the user interfaces (UIs) for drivers, invehicles, mobile, etc. will be ...

Computational offloading has become an important strategy to augment computational capabilities of resource constrained devices. While several techniques and frameworks have been proposed in the literature, currently quantifying the cost of offloading ...

The power of cloud computing is in the inherent ability to scale and share resources at internet scale. In the meantime, the power of edge computing is in the ubiquity of its resources and their proximity to data sources. The collaborative use of these ...

Children with autism typically show difficulty in sensory processing, which directly affects their ability to communicate and build connections with others. In order to enhance their senses, we present a multi-sensory interactive system, Expressive ...

Nowadays many people rely on smartphones in their daily lives for chatting in SNS, voice communications, searching for shopping information, and watching video contents, etc.. We tried to predict the used application on a smartphone based on Call Detail ...

This paper proposes Sneaking Detector, a system which recognizes sneaking on a laptop screen by other people and alerts the owner through several interventions. We utilize a pre-trained deep learning network to estimate eye gaze of sneakers captured by ...

Low Power Wide Area (LPWA) technologies are monumental for the IoT sector. In this paper, we explore LoRaWAN (LoRa Wide Area Network) sensor for human activity recognition. We propose an activity recognition framework by exploiting LoRaWAN sensor and ...

Bluetooth Low Energy (BLE) beacon technology is projected to be the leading proximity technology. Various business sectors are rapidly applying it because of its automatic location sensing capabilities, low cost and high accuracy. However, understanding ...

The effect of daily life stress has been known to cause irregular behavioral changes in a person's daily work timeline. They not only affect work but also fills a person with depression and anxiety. Thus, managing stress is a key for improving life ...

In this paper, a smartphone application "iTrack" is introduced for young people with autism that provides learning support and emergency support about safety skills related to fire and rain. Also, the application provides additional support to ...

In this paper, we present how physiological measures including heart rate (HR), electrodermal activity (EDA) and blood volume pulse (BVP) can be retrieved from a wristband device like an E4 wristband and further used to detect the interest of a user ...

In this paper, we present TanCreator, a tangible authoring tool which facilitates children to create games based on Augmented Reality (AR) and sensor technologies. Combining AR elements and sensors in games bridges virtual world with realistic ...

In this paper, a novel wearable respiration sensor using ultrasound transducer is proposed. Respiration is one of interesting physiological information which are affected by voluntary and in-voluntary motions. Hence, respiration reflects the ...

Today, retailers spend considerable efforts to provide a personalized shopping experience to their customers. As data-driven marketing helps to meet customer requirements, it is important to understand individual needs. However, offline stores---unlike ...

The purpose of this study is to understand (1) college students' goals and the strategies needed to achieve these goals through a bottom-up approach and (2) the use of mobile technology to support such strategies. To do this, we conducted a user study ...

Many office-workers and students tend to overlook the potential dangers from a spreading cough infection. To address such problems, we propose CoughCCTV, a group-wise cough management system. It aims to increase awareness of the cough occurring in a ...

In Wireless Body Area Networks (WBANs), body-attached devices communicate with each other to form services around the human body. To design WBANs, Intra-body Communication (IBC) uses electro-magnetic (EM) wave signals and utilizes the human body as the ...

Self-reported perceived stress does not often correlate with physiologic and behavioral stress response. Current perceived stress self-report assessment methods require users to answer many questions at different time points of the day. Reducing it to ...

Garbage is intricately with our daily life. We are investigating method that estimates regional amounts of garbage using motion sensors mounted on garbage trucks. In this paper, we report out analysis results of garbage amounts using national census ...

Advertising and media industry has shown rapid growth in past few decades by aligning with the increased popularity of mobile phones. As a result, advertising firms tend to try new technologies to capture the target audience attractively. Since its ...

We propose a new method for human activity recognition using a single accelerometer sensor and additional sensors for training. The performance of inertial sensors for complex activities drops considerably compared with simple activities due to inter-...

We propose Tiger1, an eyeglasses-type wearable system to help users follow the 20-20-20 rule to alleviate the Computer Vision Syndrome (CVS) symptoms such as eyestrain, headaches, and dry eyes. It monitors user's screen viewing activities and provides ...

Many people suffer from panic disorder worldwide. Panic disorder has a bad influence on overall social relations as well as mental/physical health, debasing the quality of life. Thus, we introduce Moonglow, a wrist-wearable device with a user-centered ...

In the current global fashion market, the utilization of Radio-Frequency Identification (RFID) technology has continuously enhanced retail sales performance and productivity. The purpose of this study was to review the literature on RFID utilization in ...

Mobile instant messengers lack the social appropriateness of conversation, which incurs embarrassing situations when an unwanted message is unexpectedly exposed to people nearby. To avoid such situations, we develop a relationship-aware mobile messenger ...

Commercial site recommendation based on big data is one of the innovative applications in the new retail era. Recently, most studies utilize regression analysis or collaborative filtering to recommend the optimal site based on some features extracted ...

This paper describes our effort to reconnect people to their surroundings in an urban setting, making them aware of the immediate environment. We present an initial exploration, as well as a first prototype to support urban wandering. Our first insights ...

Sensory substitution has been a research subject for decades, and yet its applicability outside of the research is very limited. Thus creating scepticism among researchers that a full sensory substitution is not even possible [8]. In this paper, we do ...

Our overall goal of our is to provide a personalized method to categorize and find media content of interest based for individual users, especially focusing on implicit feedback (facial expressions, posture and other reactions). This paper presents an ...

The vocabulary acquisition is a complex task which needs continuous reviewing. Existing vocabulary acquisition tools take into account only the correctness of the answers. However, it is important to know if the user has a knowledge misconception or ...

Our communication highly depends on nonverbal clues, especially on facial expressions. This paper presents the mapping of spontaneous facial expressions in daily conversation using the optical sensors on smart eyewear and unsupervised learning method(...

We present an experiment for 5 months with 30 residents in a caregiving facility to collect big data and to analyze the correlation between sleep and daytime activities. Analysis of sleep is useful for health care and for self analysis. Especially, ...

Human activity recognition (HAR) is challenging, particularly in natural settings, due to issues like confounding gestures present in different activities, diversity in performing the same activity, and the wide range of possible human activities. ...

In this study, an Arduino based mini nurse robot has been developed for assisting elderly people. Bangladesh which is a low income developing country has 7% of its total population of elderly people (60+ age) [8]. Elderly people are often neglected in ...

In this research, we introduce an experience sharing platform that enables users to record and playback experiences accompanied with haptics. This platform makes it possible to record and reproduce haptic data with tactile sensation added to video and ...

The conventional tactile diagrams for the visually impaired people are usually limited to a finite number of annotations and its associated Braille legend can extend to several pages. This in turn makes the tactile books bulky and cumbersome. To address ...

In technology enabled self-tutoring systems, it could be useful to monitor learners' cognitive and affective states in real time to provide useful feedback when a student faces difficulty or seems disengaged. Biometric sensors such as EEG, GSR and eye ...

In a classroom, it is important for teachers to grasp students' engagement in order to lecture effectively. However, to grasp students' engagement is too difficult in the situation where there are so many students. Therefore, the purpose of this study ...

In this study, an Automated Assistance System "RICHSHAW BUDDY" has been developed for three-wheeler Auto Rickshaws. In developing countries like Bangladesh, Auto Rickshaws are one of the key parts of transportation. They are also the reason for most ...

This study proposes a system to visualize the body-pressures applied to body parts in a bed, with textile pressure sensors to support caregivers to learn posture change skill for pressure ulcer prevention. As the result of an evaluation with 21 nursing ...

This paper proposes a new method of early change detection for people flow analysis. Some conventional methods often focus on a single location (spot) to demonstrate how the number of people changes over time. In contrast, our proposed method takes into ...

Training for any kind of sports not only requires dedication, but also the correct way of obtaining the necessary information. To maximize training, we delve into the understanding of bridging between spectating and practice by bridging the virtual and ...

Quick Response (QR) codes are rapidly becoming pervasive in our daily life because of its fast readability and the popularity of smartphones with a built-in camera. However, recent researches raise security concerns because QR codes can be easily ...

Several recent mobile operating systems allow users to configure the smartphone into a "driving mode". This mode suppresses the smartphone's incoming SMS/call notifications so that it does not distract driving activities. However, currently available ...

Current clinimetrics assessment of Parkinson's disease (PD) is insensitive, episodic, subjective, and provider-centered. Ubiquitous technologies such as smartphones promise to fundamentally change PD assessments. To enable frequent remote assessment of ...

In this paper, we propose PrivacyShield, a mobile system for on-demand and selective just-in-time privacy provisioning. PrivacyShield leverages the screen I/O device (screen digitizer) of smartphones to provide gestures (i.e., with phone's screen turned ...

Smartphones with embedded and connected sensors are playing vital role in healthcare through various apps and mHealth platforms. RADAR-base is a modern mHealth data collection platform built around Confluent and Apache Kafka. RADAR-base enables study ...

The traditional hospital set-up is not appropriate for long-term epilepsy seizure detection in naturalistic ambulatory settings. To explore the feasibility of seizure detection in such a setting, an in-hospital study was conducted to evaluate three ...

Tabletop computers have been set out to change the way people work by providing a display on the table surface. Still they're only flat displays with digital content behind a glass screen. Tangibles extended the interface into the third dimension. ...

Recent epidemiological studies suggest that age-related cognitive decline---particularly, the stages between normal cognitive changes in aging and early dementia--- is adversely affected by environmental exposures, such as long-term air pollution and ...

In this paper we present Flair, an interactive fiction game that is intended to serve as a psycho-educational material for the therapeutic treatment of Social Anxiety Disorder (SAD). Along with the game design approach, explanation of the inclusion of ...

E-learning using digital learning materials is widespread due to freedom in choosing time and space for learning. Often, these learning materials are provided uniformly regardless of the learners' knowledge and the attention. However, to maximize the ...

This paper presents a new technique of adaptive auditory feedback in desktop assistance for the people with visual impairment. Adaptive auditory feedback is based on switching between speech only and non-speech only (i.e., Spearcons) sounds. The ...

According to the theory of Embodied Cognition, our behavior is a result of real-time interaction with surroundings, our cognitive skills, and the nervous system. From this perspective, researchers are considering a learning environment which promotes ...

To expand the possibilities of thermochromic displays, we design Eunoia, which is a series of animations on textiles patterns that control the area and time of the color change activation by using the properties of fabrics, thermochromic pigments and ...

An augmented reality (AR) application, Story Teller, is designed to teach preschool children some Chinese words. In order to train their motor skill, holdable items are used as the AR markers, which can be combined to construct a story. To retain ...

We propose a method that interpolates missing values from sensor nodes in a sensor network using Nonnegative Matrix Factorization. Since nearby sensor nodes take approximate values, more reliable interpolation is possible with these values. We carried ...

An increasing number of travelers edit and share movies while traveling, owing to the widespread use of smartphones. Whereas short movies have garnered much attention, manually concatenating highlights and commentaries is often considered complicated ...

Sensing our daily activities is essential for ubiquitous computing. Although smartphones and wearable devices can easily collect their owner's data, continuous sensing causes battery drain and consumes CPU power of those devices. This paper proposes a ...

Health monitoring using a wearable device is gaining increasing research interest. Several longitudinal studies have been conducted across college students taking advantage of the robust data acquisition of wearable devices. In these studies, watch-type ...

Wearable technology is becoming increasingly common in primary and high school settings. Furthermore, research has shown that augmented reality, another type of wearable has the potential to benefit student learning. Combining these two technologies to ...

We analyzed a large data set from a mobile exercise application to find the preferred running situations of a large number of users. We categorized the users according to their running behaviors (i.e. regularly active, or rarely active over the year), ...

Syncope and strokes in toilets can lead to severe injuries, and even pose life threats to patients. However, owing to privacy concerns, vision-based fall detection cannot be applied in such a scenario. In this poster, we propose ToiFall, a prototype for ...

Language development has long been recognized as one of the core areas of deficiency in autism spectrum disorder (ASD). A large number of technology-based intervention applications have been developed to support, enhance and facilitate the language and ...

Detecting human interaction borders in urban environment, the geographical perimeter of dense human mobility interaction, is important for mobility-related city resource allocation and urban planning. However, with the advance of transportation ...

PECS or Picture Exchange Communication System, involving teaching individuals with autism spectrum disorder (ASD) to use the picture cards for requesting items and activities; it has been used with not only the individuals with ASD, but also their ...

We present how crowdsensing with civil officers contribute to collect larger amount of urban data with high spatial-temporal coverage, and enable to understand urban features by analyzing the data. We implemented a crowdsensing system which fits to ...

Head mounted display (HMD) virtual reality (VR) games have shown promise beyond entertainment. Work has shown that playing VR games even for 10 minutes can provide players with valuable levels of physical exertion that is much higher then their ...

This paper describes a pilot study involving alcohol-dependent patients and their family members aimed at identifying salient themes to guide the design of a mobile support system. We then developed a phone-based support system that facilitates ...

Transaction behavior can be recorded by the invoice in China. The invoice records several fields including transaction content, transaction code (in accordance with the Tax Classification and Coding for Commodities and Services issued by the state) and ...

Mouse based target selection requires much movement when locating targets across long distance on large displays. Eye tracking technique can locate targets more easily and quickly across long distance, and has a high potential for fast targets selection ...

As digital machine tools like 3D printers have become cheaper and popular, even common people come to involve personal fabrication. There are many web services for sharing instructions; however, people often have difficulty to create such instructions. ...

We will demonstrate a mobile app test system in VR environments. The system enables developers to use a real smartphone in VR and to evaluate their apps at the locations of interest, with various network situations. The system consists of 2 core ...

This demo presents an interactive experiment environment for physics and electrical engineering students and aims to provide a deep insight into the basic electrical theories (i.e Ohm's, Kirchoff's law) using real-time sensing system with augmented-...

In this demo paper, we assess the performance of using mid-air gestures for web browsing. We built a Google Chrome extension to interface with the Leap Motion controller (LMC). In our user study evaluation, this interaction method is adequate for basic ...

We propose a Meal Photo SNS (called HealthyStadium) for improving users' eating habits by mutually assessing each others' health. This application's method is to evaluates pictures of meals leads to the realization of sustainable journaling. In addition,...

We introduce an intelligent parking space detection system based on PassiveVLC, a visible light backscatter communication technology. Its substrate is retroreflection -- by instrumenting retroreflector in each parking space, we are able to detect the ...

Popular games for smartphones and tablets focus on touchscreen-based interaction. Here we describe a speculative research exploration motivated by the desire to enable traditional gaming experiences on mobile devices by incorporating tactile input ...

We describe a concept smartphone Display Cover, a secondary screen designed to improve productivity and convenience. Motivated by user research highlighting some of the limitations of current smartphones, the aim of this concept was to explore a ...

In this paper, we present a novel approach to the realization of a battery-free soil profile probe that uses the temperature difference between the near-surface air and the underground soil as a power source. The temperature change in the underground ...

We introduce a Graphical User Interface (GUI) to create intelligent interactive documents for everyone. The intelligent interactive document refers to a document displaying contents dynamically according to a reader's behavior. To the best of our ...

The Vocabulometer is a reading assistant system designed to record the reading activity of a user and to extract mutual information about the users and the read documents. The Vocabulometer stands as a web platform and offers services for analyzing ...

Education is the Achilles heel of successful resuscitation in cardiac arrest. Therefore, we aim to contribute to the educational efficiency by providing a novel augmented-reality (AR) guided interactive cardiopulmonary resuscitation (CPR) "trainer". For ...

We introduce RF-Wear1, a low-cost, washable and wearable solution to track movements of a user's body using passive RFIDs embedded in their clothing. RF-Wear processes wireless signals reflected off these tags to a compact single-antenna RFID reader in ...

Parkinson's disease (PD) is a second most common neurological disorder that affects up to 10 million people worldwide. It has an evolving nature and the symptoms may vary from patient to patient. Thus, to increase the effectiveness of PD treatment, it ...

In this research, we propose a system that allows one to find a hidden spot that is scenic, yet unpopulated, with the intention of improving the satisfaction of one's trip. These hidden spots are not yet noted in the existing tourism services, however ...

We present eSense - an open and multi-sensory in-ear wearable platform to detect and monitor human activities. eSense is a true wireless stereo (TWS) earbud with dualmode Bluetooth and Bluetooth Low Energy and augmented with a 6-axis inertial ...

In this demo, we present a smartwatch app that is designed to help users eating meals at an appropriate rate. Our app measures the user's eating rate in real time and delivers appropriate feedback to slow down when eating fast. To this end, we explore ...

In this demonstration, we introduce an animated emoji feedback system that can help users eating at an appropriate rate. The system measures the user's eating rate in real time and sends appropriate feedback to the user in accordance with the measured ...

Aiming at the development of functional sheets, this research proposes a new fabrication method of origami robots to create an electronic circuit which can transform into a three-dimensional (3D) shape and move by itself by combining origami geometry ...

Bodyweight exercises, such as push-up, sit-up, and squat, are effective forms of strength training to maintain good health. In order to improve people's exercise experience and provide feedback, lots of work has been done to monitor the bodyweight ...

We propose FonLog: a mobile app that can be used for a data collection tool in human activity recognition for nursing services. The app has essential features to collect activity data efficiently found by the feedbacks from nursing facilities from the ...

Researchers, particularly in the area of ubiquitous and wearable computing, often spend significant amount of effort and time in developing devices and/or apps for data collection. Most of the apps and devices are customized with limited options, and ...

In this study, a set of transmitter/receiver modules was designed to facilitate human body communication (HBC) between pairs of users. The modules, which use a direct digital synthesizer (DDS) to produce frequency shift keying (FSK) modulated signals at ...

Anime music videos (AMVs) are fan-made music videos that are created by editing and synthesizing anime footage and music. Anime fans create AMVs and share them on the Internet and with their friends. However, AMV creation takes time and effort. It is ...

Recent work has revealed the sensing theory of human respiration outside the First Fresnel Zone (FFZ) using commodity Wi-Fi devices. However, there is still no theoretical model to guide human respiration detection when the subject locates in the FFZ. ...

This paper discusses the interaction between a user and a wearable device that is being charged. Many wearable devices do not engage with the user while charging. This paper presents a prototype using a pair of wireless earbuds to review the interaction ...

1D Eyewear introduces digital designs where 1D arrays of LEDs and pre-recorded holographic symbols, enables minimal head-worn displays that can be embedded in normal-looking eyeglasses frames. We developed a set of optical designs (transmissive, ...

We introduce programmable material and electromechanical control to enable a set of hybrid watch user interfaces that symbiotically leverage the joint strengths of electro-mechanical hands and a dynamic watch dial. This approach enables computation and ...

Digital cameras and smartphones have made it exceedingly convenient for people to take photographs. Anyone can easily take and store hundreds of pictures. With film cameras, the general assumption was that users paid more attention to the scenes, owing ...

This demo presents a genetic algorithm to optimize the parameters length and intensity of vibrations signals deployed in vibration patterns. The participants are able to interact with the system and personalize their vibrations signals.

Supermarkets offer a wide range of products which makes it challenging for consumers to choose between the different options and find the items they are looking for. Augmented Reality (AR) applications, however, have a high potential to enrich real-...

Most existing wireless power transfer (WPT) solutions are limited to 2-D configurations, which limits mobility when charging electronics. What is needed are 3-D WPT, which can deliver power anywhere in large volumes (e.g., factories, rooms, toolbox, etc)...

In this demonstration, we present a full implementation of Tacita, a display personalisation system designed to address viewer privacy concerns whilst still capable of providing relevant content to viewers and therefore increasing the value of displays.

Wireless charging pads such as Qi are rapidly gaining ground, but its limited power supply range still requires precise placement on a specific point. 2-D wireless power transfer (WPT) sheets consisting of coil arrays are one well-known solution for ...

We propose a cuttable wireless power transfer sheet which allows users to modify its size and shape. This intuitive manipulation allows the users to easily add wireless power transmission capabilities to everyday objects. The properties of the sheet ...

Understanding gestures help better communication between humans and between human and robot/agent because the gestures express various feelings of a speaker. We focus attention on gestures and aim to create a corpus of the relationship between the ...

Throughout the 2010s interest in both organic user interfaces and various tangible haptics systems has grown steadily. Prior art has shown this through transmitting shape as a means of a novel interaction. Oobleck is a mixture of water and cornstarch ...

RSA-BT (Respiratory Sinus Arrhythmia biofeedback-based Breathing Training) is a common cardiorespiratory intervention that has been commonly used as a complementary treatment to diseases (e.g., asthma), and as an effective exercise to reduce anxiety. In ...

An anime music video (AMV) is a fan-made music video consisting of scenes from Japanese anime set to an audio track, often songs or promotional trailer audio. Quote MAD is one genre of AMV that consists of video clips of quotes. Quote MAD creators will ...

In this study, we propose AOBAKO, a testbed for context-aware applications, which focuses on the testing of mobile applications using Bluetooth Low Energy (BLE) for indoor positioning. AOBAKO emulates BLE-beacon communications based on accurate frame-...

In recent years, human respiration detection based on Wi-Fi signals has drawn a lot of attention due to better user acceptance and great potential for real-world deployment. However, latest studies show that respiration sensing performance varies at ...

In this paper, we present the design and implementation of the HABits necklace, a neck-worn device that estimates behavior. This neck-worn device is continuously evolving to provide researchers with the ability to use it in multiple applications ...

Human vitality information is pivotal to many sensing applications. By vitality, we mean the status of a human target in a multi-room environment: whether he/she is still and which room he/she is located in. Continuous monitoring of human vitality helps ...

Maintaining a positive and respectful attitude during a group discussion is the key to a healthy collaboration. Automatically capturing and effectively showcasing the attitudes expressed through one's face, voice, and quote can make the group members ...

Interconnect join failure is a common theme in wearable technology, but has yet to be addressed or resolved. The purpose of this thesis is to begin study of isolating and identifying ways to relieve an interconnect joint stress that is common in e-...

Ubicomp/HCI researchers are increasingly using smartphones to collect human-labelled data 'in the wild'. While this allows for the collection of a wide range of interesting data in authentic settings and surroundings, humans are notoriously inconsistent ...

The collection of human contributions through mobile devices is increasingly common across a range of methodologies. However, possible quality issues of these contributions are often overlooked. As the quality of human data has a direct impact on study ...

We discuss two methods designed to increase the accuracy of human-labeled data. First, Peer-ceived Momentary Assessment (Peer-MA), a novel data collection method inspired by the concept of Observer Reported Outcomes in clinical care. Second, mQoL-Peer, ...

We propose Information Transmission as a novel perspective on the mobile Experience Sampling Method (ESM) to frame a research agenda with a sharpened focus on increasing data quality in ESM studies. In this view, good experience sampling transmits valid,...

Smartphones are personal ubiquitous devices that provide an immense source of information via diverse applications (apps) that contribute to our decision-making process throughout the day and improve our quality of life in the long term. In the past, an ...

The rise of the smartphone opens up new possibilities for researchers to observe users in everyday life situations. Researchers from diverse disciplines use in-field studies to gain new insights into user behavior and experiences. However, the collected ...

Thanks to the emergence of mobile computing technologies, location-based services (LBS) have been widely used. Massive data of LBS user activities would be useful for studying human mobility and urban computing. In this paper, we design and implement ...

In most crowdsensing systems, the quality of the collected data is varied and difficult to evaluate while the existing crowdsensing quality control methods are mostly based on a central platform, which is not completely trusted in reality and results in ...

This paper presents our preliminary design of the Reaching the Frail Elderly Patient for Optimizing Diagnosis of Atrial Fibrillation (REAFEL) system that helps to improve accuracy in interpretation of Electrocardiography (ECG) recordings by leveraging ...

Nowadays, the app stores host a variety of mobile health solutions. Smartphone users can choose from tens of thousands of applications, designed to prevent or manage certain diseases, or induce behavior change to improve health and life quality in ...

In mobile crowdsourcing, labour can be opportunistically elicited by sending notifications to workers who complete tasks on-the-go. While much work has focused on optimizing the work quality and quantity in mobile crowdsourcing, surprisingly few studies ...

In affective computing (AC) field studies it is impossible to obtain an objective ground truth. Hence, self-reports in form of ecological momentary assessments (EMAs) are frequently used in lieu of ground truth. Based on four paradigms, we formulate ...

Everyday mobility encompasses different forms of public and private transportation. However, everyday mobility often does not involve substantial levels of physical activity. The goal of this workshop is to investigate ways of integrating physical ...

With the significant rise in the number of senior citizens living independently, there is a considerable research focus in the wellness and care of this geriatric population. While monitoring these citizens by heavily instrumenting them with tech could ...

We report results from a pilot study that focuses mainly on understanding the everyday life quality of patients suffering from multiple sclerosis through the lens of connected Nokia Health devices. Our dataset comprises of 198 individuals (184 females ...

Sensors in our phones and wearables, leave digital traces of our activities. With active user participation, these devices serve as personal sensing devices, giving insights to human behavior, thoughts, intents and personalities. We discuss how ...

Advances in user interfaces, pattern recognition, and ubiquitous computing continue to pave the way for better navigation towards our health goals. Quantitative methods which can guide us towards our personal health goals will help us optimize our daily ...

Tactile patterns are a means to convey general direction information to pedestrians (for example when turning right) and specific navigation instructions (for example when approaching the stairs). Tactile patterns are especially helpful for people with ...

With the advancements in ubiquitous computing, ubicomp technology has deeply spread into our daily lives, including office work, home and house-keeping, health management, transportation, or even urban living environments. Furthermore, beyond the ...

Recent technological development offers new possibilities for taking into account peoples' personal wellness data in adjustment of environment conditions. For example, users' heartrate, facial expression, room temperature, and CO2 data could be used for ...

What does well-being mean in the context of smart environments? What restrictions are set, how can well-being be measured and predicted? Can smart environments control or influence individual well-being? We seek to answer these questions by aggregating ...

Promoting students' well-being is instrumental to foster their academic performance and prevent health issues or drop outs. Since an average student spends 4 hours a day in the classroom, the emotional climate during lectures is likely to affect a ...

Subjective well-being (SWB) refers to people's subjective evaluation of their own quality of life. Previous studies show that environmental pollution, such as air pollution, has generated significant negative impacts on one's SWB. However, such works ...

We propose a cross-modal approach for conversational well-being monitoring with a multi-sensory earable. It consists of motion, audio, and BLE models on earables. Using the IMU sensor, the microphone, and BLE scanning, the models detect speaking ...

Iris is an interactive reward and information system that aims to increase wellbeing amongst parents and children, by supporting treatment compliance in clubfoot patients. This paper discusses the design and a pilot test of Iris, exploring the role of ...

We spend almost one third of our life in sleep. Sleep is one of the main contributors to our life and wellbeing. Sleep disorders are know to have adverse health effects but studies have also shown that too little or too much sleep is correlated with a ...

Hundreds of well-being apps aim to manage stress. Despite some successes in developing personalized regimes for stress coaching, current apps are still far from offering a compelling user experience. We discuss the requirements and technical challenges ...

Towards wellbeing-awareness in computing, researches for estimating users' emotions using smartphone sensor data have been actively conducted as smartphones are getting more and more ubiquitous. Most studies have constructed emotion estimation models ...

Overuse of smartphone applications causes addiction to smartphone, which affects the user's physical and mental health. Interventions such as providing persuasive messages and controlling the use of applications need to assess the level of addiction to ...

Biofeedback is commonly used to regulate one's state, for example to manage stress. The underlying idea is that by perceiving a feedback about their physiological activity, a user can act upon it. In this paper we describe through two recent projects ...

Although designing interactive technologies for motivating children to be physically more active has gained much attention, less focus has been directed towards young athletes. Interactive sports garments are an interesting area with much potential from ...

Past studies have shown that commercial sports tracking technologies do not often provide the desired level of awareness of one's own body, and they are often abandoned after intermittent usage. In this position paper, we explore design possibilities ...

Telemedicine is an emerging challenge for the shortage of qualified professionals, particularly in under-resourced regions. Physical assessment by a non-medical doctor is a practice in telemedicine which discovers essential symptom of a patient who ...

An interactive tangible interface has been developed to capture and communicate emotions between people who are missing and longing for loved ones. EmoEcho measures the wearer's pulse, touch and movement to provide varying vibration patterns on the ...

An increasing number of devices are getting enough computing and storage capacity to adapt their behaviour to the needs and preferences of their users. However, in multi device systems, this will require new techniques allowing several devices to take ...

In recent years, the number of people suffering from stress and anxiety disorders is growing dramatically, reaching over 40 million adults in the United States alone. The meditation, amongst many other relaxation techniques, is emerging as a popular ...

UPDATED---August 17, 2018. Blood pressure (BP) is the most commonly performed medical office test. We developed a system that uses exclusively wristband-collected photoplethysmogram (PPG) to estimate BP. A dataset was collected and annotated during ...

Improving people's well-being through relevant products and services is a designer task. They achieve this by combining innovative ideas with appropriate technologies. While the Internet of Things (IoT) brings vast opportunities in this regard, it ...

Advancements in ubiquitous technologies and artificial intelligence have paved the way for the recent rise of digital personal assistants in everyday life. The Third International Workshop on Ubiquitous Personal Assistance (UPA'18) aims to build on the ...

Falling is a serious threat to the elderly people. One severe fall can cause hazardous problems like bone fracture or may lead to some permanent disability or even death. Thus, it has become the need of the hour to continuously monitor the activities of ...

Despite the growth of personal digital information use, both in scale and application diversity, conventional user models are still reliant on limited user input data to improve a variety of services for specific applications and tasks. This trend ...

Passwords and PINs are used to protect all kinds of services against adversaries in our everyday lives. To serve their purpose, passwords require a certain degree of complexity which is often enforced through password policies. This results in ...

Important goals of the process-industry are efficient, safe and resource-saving production. High expectations have been formulated concerning the linkage of automation technologies, digitization and data-driven analytics methods like machine learning. ...

Research has suggested that asking participants to generate their own arguments or ideas for the purpose of behavioral improvement (e.g., quit smoking) could lead to better intervention outcomes. Based on this concept, the opportunity for participants ...

Diabetes mellitus is a common disease in today's population, where the insulin control system fails. It can be harmful for the patient when not treated appropriately with insulin injections. The complex functionality of the human body paired with very ...

Smartphone applications (abbr. apps) are becoming ubiquitous in our everyday life. Apps on smartphones can sense users' behaviors and activities, providing a lens for understanding users, which is an important point in the community of ubiquitous ...

With the rapid development of online social networks (OSNs), many people have linked their accounts of multiple OSN sites and share contents across them. In this work, we conduct an empirical study of the usage of the Swarm app's cross-site sharing ...

We describe the vision, implementation and initial deployment experience with an App based crowd sourcing system for the analysis and prediction of the influence of aggregated individual behavior patterns on the spread of infectious diseases. The App ...

Recent revelations about data breaches have heightened users' consciousness about the privacy of their online activity. An often overlooked avenue of collection of users' personal information are registration processes and/or social logins, such as ...

The proliferation of smart devices prompts the explosive usage of mobile applications, which increases network traffic load. Characterizing the application level traffic patterns from an individual perspective is valuable for operators and content ...

In recent years, eye tracking technique has been greatly promoted. However, due to the limitations of the hardware performance of mobile device, the image captured by the mobile device camera has low resolution, so the existed image processing based eye ...

Smartphone applications (Abbr. apps) have become an indispensable part in our everyday lives. Users determine what apps to use depending on their personal needs and interests. App usage behaviors reveal rich clues regarding one's personal attributes. It ...

As transborder data flows of personal data are increasing in volume and frequency, a jurisdiction's capacity to enforce personal data protection laws outside its territory is becoming more necessary and more difficult. As is shown in this paper, there ...

Science fiction movies sometimes depict scenes of urban spaces with robots amidst humans as if this was normal. The Internet of Things continues to be explored in many domains, and with things getting "smarter", as they become embedded with autonomous ...

In the domestic IoT domain, data is often collected by physical sensors and actuators embedded in the household and used to provide contextually relevant services to end users. Given that this data is often personal, the EU's General Data Protection ...

The new European General Data Protection Regulation has introduced several new rights designed to empower users and regulate imbalances of power between those who collect and control data and those to whom the data refer. In this paper we focus on one ...

Data protection regulations generally afford individuals certain rights over their personal data, including the rights to access, rectify, and delete the data held on them. Exercising such rights naturally requires those with data management obligations ...

Human behavior is increasingly sensed and recorded and used to create models that accurately predict the behavior of consumers, employees, and citizens. While behavioral models are important in many domains, the ability to predict individuals' behavior ...

In 1997 Rosalind Picard introduced fundamental concepts of affect recognition [1]. Since this time, multimodal interfaces such as Brain-computer interfaces (BCIs), RGB and depth cameras, physiological wearables, multimodal facial data and physiological ...

Recent research in the enteric nervous system, sometimes called the second brain, has revealed potential of the digestive system in predicting emotion. Even though people regularly experience changes in their gastrointestinal (GI) tract which influence ...

To design more context-aware systems for smart environments, especially smart cities, the psychological user status such as emotion should be considered in addition to environmental information. In this study, we focus on the tourism domain as a typical ...

Neonates needs an intensive health care during their early life. The cost of health care is high. In addition, health care might not be accessible to neonates in rural areas. In this paper, we propose the development of a smart, accessible, and cost-...

In this paper we present a method for recognizing emotions using video and audio data captured from a mobile phone. A mobile application is also presented that captures audio and video data, which were used to predict emotion with a convolutional neural ...

During college, students make important decisions that will affect the rest of their life while also dealing with the burdens of social and academic expectations, often while living alone for the first time. For these reasons, stress deteriorates mental ...

Virtual/augmented reality headsets, smart sensing glasses and similar "Smart Eyewear" have recently emerged as commercial products and can provide an interesting research platform for a range of research fields, including human-computer interaction, ...

Sensors can be worn on various positions on the body such as wristband, clothes, armband, ring, etc. However the head is a strategic position as our brain, eyes, ears, nose and mouth are near. We introduce a short state of the art of the existing ...

The development of ubiquitous computing and wearable sensing devices has lead to a situation where off-the-shelf hardware can be used for ubiquitous computing applications. We are arguing for using these available devices for designing unobtrusive ...

Humans sense most of the environment through their eyes. Detecting people's activities and context from their visual behavior using mobile eye trackers is well studied. Typically, these systems require some kind of calibration prior to usage, unsuitable ...

The availability of artificial intelligence and smart glasses, equipped with cameras and displays, presents a strong foundation on which to build a wearable cognitive assistant, a device that provides the user with context-aware information. Although ...

Looking is a two-way process: we use our eyes to perceive the world around us, but we also use our eyes to signal to others. Eye contact in particular reveals much about our social interactions, and as such can be a rich source of information for ...

Our everyday work is becoming increasingly complex and cognitively demanding. What we pay attention to during our day influences how effectively our brain prepares itself for action, and how much effort we apply to a task. To address this issue we ...

Head Mounted Display (HMD) based Augmented Reality (AR) allows users to access digital information related to real world objects without being distracted from their real world task. With the introduction of the HoloLens (and increasingly other similar ...

The 7th Workshop on Pervasive Urban Applications (PURBA 2018) aims to build on the success of the previous workshops organized in conjunction with the Pervasive (2011-12) and UbiComp (2013, 2015--17) to continue to disseminate the results of the latest ...

We apply a novel clustering technique to London's bikesharing network, deriving distinctive behavioral patterns and assessing community interactions and spatio-temporal dynamics. The analyses reveal self-contained, interconnected and hybrid clusters ...

For efficient operation of taxis, it is important to provide taxi drivers with detailed information about passenger demand. In this paper, we propose a future taxi demand prediction algorithm by using real-time population data generated from cellular ...

This paper presents an interactive visualization tool for resource usage monitoring. This paper discusses the developing processes and focuses on implementation techniques for data preparation and visualization. The web application called Energis is ...

Commuting is recurring travel between home and workplace, which accounts for most trips made daily. Understanding commuting patterns and flows is therefore essential for city and transport system design and planning. Traditionally, commuting flow ...

This paper presents an online platform for visualizing and analyzing city event and tourism information, called Eventity. The tool allows the user to interact with the information by selecting the view the information within a selected period. It ...

This paper introduces a public transit system called Jerney, which is a peer-to-peer shared ride on fixed routes. It takes the advantage of fixed route shared public transit (such as bus and rail systems) in order to keep the fare rate down compared to ...

Soundscape or acoustic landscape is an important spatial characteristic that can influence real estate development and urban economics. Understanding of soundscape is thus essential for urban design and planning. This paper presents the development and ...

Urban planners and economists alike have strong interest in understanding the inter-dependency of land use and people flow. The two-pronged problem entails systematic modeling and understanding of how land use impacts crowd flow to an area and in turn, ...

This paper presents presents an approach to preserve privacy for content sharing in online social networks. The approach is based on the concept of friendship strengths and social ties within a friendship circle. Friends can be categorized into ...

Pedestrian-vehicle accidents are the cause of many human injuries and deaths. To address this challenge, vision-based traffic systems have focused on detecting traffic-related objects' behaviors, such as vehicle position and velocity relative to ...

In this study, we have developed a method that applies machine learning in combination with an optimization heuristic algorithm such as a genetic algorithm (GA) for solving the vehicle routing problem (VRP). Further, we developed a knowledge-based ...

Fixed sensor stations are the primary means to collect environmental data in cities. Yet, their high cost of deployment and maintenance often result in an accurate but geographically-sparse monitoring. We advocate for a drive-by approach to urban ...

We present the activity of strolling as an artistic practice. With this we make an invitation to be lost in the geography of an urban setting. The main concept is to provide the physical space with a communication level that would be pleasant to ...

This paper provides a fog-based approach to solving the traffic light optimization problem which utilizes the Adaptive Traffic Signal Control (ATSC) model. ATSC systems demand the ability to strictly reflect real-time traffic state. The proposed fog ...

Our world is increasingly interconnected via a wide variety of computers, IoT, wearable and mobile devices. The information provided collectively through these devices offers insightful information on our everyday lives, daily patterns, mood, behaviour, ...

The mood of a community influences work productivity, socioeconomic outcomes and general quality of life of its members, so being able to measure it opens a wealth of opportunities like, informing policies, scheduling events and possibly discovering the ...

The use of mobile phones has transcended its initial use as a communication device to become a medium to fulfilling social needs. While this has been beneficial to some, studies have exposed adverse effects such as depression and social media addiction. ...

As new generations of sensors and modalities become available the possible sensor modalities to apply for occupant sensing accumulate. The fusion of heterogeneous sensing technologies has transposed the sensing scenarios where data is only based on one ...

Classic measurement grids with their static and expensive infrastructure are unfit to realize modern air quality monitoring needs, such as source appointment, pollution tracking or the assessment of personal exposure. Fine grained air quality assessment ...

Pollution exposure assessment at the population level is an established enterprise for environmental scientists and public health officials---but efforts to help individuals monitor and track their personal pollution exposures have just begun to garner ...

Our work investigates the use of a Near InfraRed Spectroscopy scanner for the identification of liquids. While previous work has shown promising results for the identification of solid objects, identifying liquids poses additional challenges. These ...

Mobile-phone based activity recognition has been successfully applied to many useful scenarios like measuring the 'calories burnt' by a person. Unlike activities that are performed by a person alone, many activities are performed in a group-setting for ...

Radio-Frequency based device-free localisation systems are able to pinpoint people's location in a given area without their cooperation. They work by analysing the perturbations that the presence of a person causes on the communications exchanged by a ...

In the advancing ubiquitous computing, users are increasingly confronted with a tremendous amount of information proactively provided via notifications from versatile applications and services, through multiple devices and screens in their environment. ...

User interaction is an essential part of many mobile devices such as smartphones and wrist bands. Only by interacting with the user can these devices deliver services, enable proper configurations, and learn user preferences. Push notifications are the ...

College students are exposed to smartphone distraction during study-related contexts (e.g., classrooms, self and group studies). This constant distraction may lower their academic performance. In this work, we built a simple context-aware proactive ...

One of the primary ways that people interact with applications on their mobile phones is through notifications. However, Android and iOS treat notifications differently, one being opt-in and the other being opt-out. We explore, through two identical ...

This paper outlines the roadmap and the preliminary results of a data-driven study aimed at providing the real-time notification using ambient displays tailored to people having solar panel and home storage battery installed at households. The objective ...

A hallmark of ambient displays is their constant presence in the periphery of the user's attention, such as the Ambient Orb1 that changes color based on the outdoor weather. Users of such a device can explicitly turn their attention to the device if ...

When it comes to attention and notification management, most of the previous attempts to visualise notifications and smartphone usage have focused on digital representations on screens that are not fully embedded in the users' environment. Today, the ...

To prevent undesirable effects of attention grabbing at times when a user is occupied with a difficult task, ubiquitous computing devices should be aware of the user's cognitive load. However, inferring cognitive load is extremely challenging, ...

From not disturbing a focused programmer, to entertaining a restless commuter waiting for a train, ubiquitous computing devices could greatly enhance their interaction with humans, should they only be aware of the user's cognitive load. However, current ...

Alerts and notifications are increasingly being used in emergency situations. However, notifying users when an alert is not contextually useful results in those users opting out of this mode of alerting. There is a need to extensively evaluate such ...

By enabling driver mode on a smartphone, the smartphone can autonomously detect driving activities and suppress any incoming notifications so that drivers can focus on their attention on driving activities. However, the current driving mode ...

Users are confronted with more and more notifications in their lives. Multiple device types in the users' environment use visual, tactile and auditory cues to inform them about messages, events, and updates. All these devices differ in the used ...

In the past decade, the number of always-connected mobile devices exploded. Smartphones are always with the user and host a large number of applications and services that use notifications to gain the user's attention. These notifications and their ...

Real-world ubiquitous computing systems face the challenge of requiring a significant amount of data to obtain accurate information through pure data-driven approaches. The performance of these data-driven systems greatly depends on the quantity and '...

PPG-based continuous heart rate estimation is challenging due to the effects of physical activity. Recently, methods based on time-frequency spectra emerged to compensate motion artefacts. However, existing approaches are highly parametrised and ...

Long Short Term Memory (LSTM) Recurrent Neural Networks has been shown to be capable of learning long time dependencies, and has been successfully applied to many studies, such as machine translation, speech recognition and air pollution concentration ...

Perspiration level monitoring enables numerous applications such as physical condition estimation, personal comfort monitoring, health/exercise monitoring, and inference of environmental conditions of the user. Prior works on perspiration (sweat) ...

The multitude of data generated by sensors available on users' mobile devices, combined with advances in machine learning techniques, support context-aware services in recognizing the current situation of a user (i.e., physical context) and optimizing ...

Large-scale fine-grained air pollution information has both financial for city managers and health benefits for all city residents. Sensors installed on fleet of vehicles (like taxis) to collect air pollution data provides a low cost, low-maintenance ...

Radio frequency radar indoors is gaining traction owing to its promise for extended coverage and device-free operation. However, while the well-behaved radar sensing model affords clear advantages, the cluttered indoor environment presents numerous ...

With the development of social media, a huge number of users are attracted by social platforms such as Twitter. Emojis are widely used by social network users when posting messages. Therefore, it is important to mine the relationships between plain ...

Bag-of-Words (BoW) is one of the important techniques for activity recognition. Instead of dividing a continuous sensor streams into sliding windows with fixed time duration, it builds activity recognition models using histograms of primitive motion ...

Occupant activity level information is essential in many smart home applications, such as energy management and elderly care. Various methods have been proposed for detecting occupant activities through vision-, acoustic-, or radio frequency-based ...

Volatile organic compound (VOC) recognition systems can be helpful tools in monitoring today's living environments surrounded by harmful chemicals including dangerous VOCs. By designing a mobile system where users can easily detect VOC materials in ...

Radio frequency (RF) signals have been used extensively to enable (indoor) localization and proximity detection based on Received Signal Strength Indication (RSSI). However, localization systems often suffer from large data collection and calibration ...

In this paper, we present a structure-adaptive approach for monitoring human gait using footstep-induced floor vibrations. Human gait information is critical for timely and accurate assessment and diagnosis of many health conditions. Footstep-induced ...

The recognition of complex and subtle human behaviors from wearable sensors will enable next-generation human-oriented computing in scenarios of high societal value (e.g., dementia care). This will require large-scale human activity corpuses and much ...

This study introduces OpenHAR, a free Matlab toolbox to combine and unify publicly open data sets. It provides an easy access to accelerometer signals of ten publicly open human activity data sets. Data sets are easy to access as OpenHAR provides all ...

A body weight training (BWT) means the training which utilizes the self-weight instead of the weight machine. The feedback of form and proper training menu recommendation is important for maximizing the effect of BWT. The objective of this study is to ...

The robustness and consistency of sensory inference models under changing environmental conditions and hardware is a crucial requirement for the generalizability of recent innovative work, particularly in the field of deep learning, from the lab to the ...

Since taking a detailed record of rehabilitation is difficult due to the busyness of practitioners, the chance of making quantitative analysis of rehabilitation is degraded. Automatic rehabilitation recording by activity recognition using wearable ...

Training classifiers for human activity recognition systems often relies on large corpora of annotated sensor data. Crowd sourcing is one way to collect and annotate large amounts of sensor data. Crowd sourcing often depends on unskilled workers to ...

In this paper we present a case study on drinking gesture recognition from a dataset annotated by Experience Sampling (ES). The dataset contains 8825 "sensor events" and users reported 1808 "drink events" through experience sampling. We first show that ...

Motion capture generates data which are often more accurate than those captured by multiple of accelerometer sensors by their physical specification. Based on the observation that accelerometer data can be obtained by the second derivation of position ...

In this paper, we explore LoRaWAN (Long Range Wide Area Network) sensor for human activity recognition. In this research, we want to explore relation between packet loss and activity recognition accuracy from LoRaWAN sensor data. We want to estimate the ...

Many research papers focus on communication skills in a group and information transmission capability of university students and/or business persons. Group discussions and poster session presentations are major topics in human interaction research. ...

We propose a method to translate between multi-modalities using an RNN encoder-decoder model. Based on such a model allowing to translate between modalities, we built an activity recognition system. The idea of equivalence of modality was investigated ...

As it is generally difficult to utilize GPS positioning indoors, methods such as Wi-Fi positioning and PDR positioning are proposed. In particular, in addition to being able to estimate the absolute position, the Wi-Fi positioning has attracted ...

We present a solution to the Sussex-Huawei Locomotion-Transportation (SHL) recognition challenge (team "S304"). Our experiments reveal two potential pitfalls in the evaluation of activity recognition algorithms: 1) unnoticed overfitting due to ...

In recent years, activity recognition (AR) has become prominent in ubiquitous systems. Following this trend, the Sussex-Huawei Locomotion-Transportation (SHL) recognition challenge provides a unique opportunity for researchers to test their AR methods ...

In this paper, we have used a smartphone sensor-based benchmark Sussex-Huawei Locomotion-Transportation (SHL) dataset for rich locomotion and transportation analytics. We have shown a comparison of different sensor-based features for the identification ...

At the SHL recognition challenge 2018, Team Tesaguri developed a human activity recognition method. First, we obtained the FFT spectrogram from 60-second acceleration and gyro sensor data for each of six axes. A five-second sliding window was used for ...

The Sussex-Huawei Locomotion-Transportation recognition challenge presents a unique opportunity to the activity-recognition community - providing a large, real-life dataset with activities different from those typically being recognized. This paper ...

In this paper we summarize the contributions of participants to the Sussex-Huawei Transportation-Locomotion (SHL) Recognition Challenge organized at the HASCA Workshop of UbiComp 2018. The SHL challenge is a machine learning and data science competition,...

This paper explores the relevance of an approach based exclusively on deep neural networks for locomotion recognition. This work is done within the Sussex-Huawei Locomotion-Transportation (SHL) recognition challenge as team Power of Things. Provided ...

Human activity recognition based on the smartphone sensors has the potential to impact a wide range of applications such as healthcare, smart home, and remote monitoring. For simple activities like "Sit" and "Walk", it can be distinguished relatively ...

Human activity recognition using multimodal sensors is widely studied in recent days. In this paper, we propose an end-to-end deep learning model for activity recognition, which fuses features of multiple modalities based on their confidence scores that ...

In this paper, our method (Team Tk-2) for Sussex-Huawei Locomotion-Transportation (SHL) recognition challenge [1] is described. First, the sliding window technique was applied on sensor data with six window sizes of 60, 30, 10, 6, 3 and 1 second to ...

The goal of the Sussex-Huawei Locomotion-Transportation (SHL) recognition challenge is to classify 8 modes of transportation and locomotion activities recorded using a smartphone inertial sensor. In this paper, Team Orion extracts 36 quantitative ...

The objective of this work is to recognize modes of locomotion and transportation accurately, with special emphasis on precise detection of transitions between different activities. The recognition of activities of daily living (ADLs), specifically ...

In this paper, we, Ubi-NUTS Japan, introduce a multi-stage activity inference method that can recognize a user's mode of locomotion and transportation using mobile device sensors. We use the Sussex-Huawei Locomotion-Transportation (SHL) dataset to ...

This paper describes a simple yet resource efficient method to train and finally test a classifier based on "Sussex-Huawei Locomotion- Transportation (SHL) dataset" for "Sussex-Huawei Locomotion-Transportation (SHL) recognition challenge". Our team, "...

The objective of this work is to determine various modes of locomotion and in particular identify the transition time from one mode of locomotion to another as accurately as possible. Recognizing human daily activities, specifically modes of locomotion ...

Traditional machine learning approaches for recognizing modes of transportation rely heavily on hand-crafted feature extraction methods which require domain knowledge. So, we propose a hybrid deep learning model: Deep Convolutional Bidirectional-LSTM (...

This paper describes our submission (team name: Ideas Lab @ UT) to the Sussex-Huawei Locomotion-Transportation (SHL) recognition challenge. The SHL recognition challenge considers the problem of human activity recognition from inertial sensor data ...

In this paper we, as part of the Sussex-Huawei Locomotion-Transportation (SHL) Recognition Challenge organizing team, present reference recognition performance obtained by applying various classical and deep-learning classifiers to the testing dataset. ...

The bases of the approaches of UCLab(submission 1) towards SHL recognition challenge are using Random Forest and letting it select important features. Using accelerometer, gyroscope, magnetometer, gravity and pressure sensor as input data, features such ...

For high precision estimation with SHL recognition challenge, we use a deep learning framework based on convolutional layers and LSTM recurrent units (ConvLSTM). We, UCLab(submission 2), propose the model combined two different ConvLSTMs. One ConvLSTM ...

Human-computer interaction is progressively shifting towards natural language communication, determining the rise of conversational agents. In the context of ubiquitous computing, the opportunities for interacting with new services and systems in a ...

The ability to engage the user in a conversation and the credibility of the system are two fundamental characteristics of virtual coaches. In this paper, we present the architecture of a conversational e-coach for promoting healthy lifestyles in older ...

In today's media landscape, emotionally charged topics including issues related to politics, religion, or gender can lead to the formation of filter bubbles, echo chambers, and subsequently to strong polarization. An effective way to help people break ...

In this paper, we describe a new theoretically motivated application framework, Wenner, for developing tailored interactions for an exercise-oriented well-being application. The framework allows us to conduct in-lab and 'in the wild' studies to directly ...

This article presents the design of a conversational agent whose goal is to coach people who wish to improve their food lifestyle. The data gathering method is easy and especially fast in order to simplify the life of the user. The goals are defined by ...

Mental health issues affect a significant portion of the world's population and can result in debilitating and life-threatening outcomes. To address this increasingly pressing healthcare challenge, there is a need to research novel approaches for early ...

Although mental illness is one of the most serious social problems, stress does not necessarily have a negative effect, on the contrary, an optimal amount of stress can result in individuals being able to perform better in tasks. While there have been ...

Social interactions have multifaceted effects on individuals' mental health statuses, including mood and stress. As a proxy for the social environment, Bluetooth encounters detected by personal mobile devices have been used to improve mental health ...

A number of studies have been investigating the use of mobile phone sensing to predict mood in unipolar (depression) and bipolar disorder. However, most of these studies included a small number of people making it difficult to understand the feasibility ...

The advances in mobile and wearable sensing have led to a myriad of approaches for stress detection in both laboratory and free-living settings. Most of these methods, however, rely on the usage of some combination of physiological signals measured by ...

Timely detection of an individual's stress level has the potential to expedite and improve stress management, thereby reducing the risk of adverse health consequences that may arise due to unawareness or mismanagement of stress. Recent advances in ...

Exercise therapy for dementia care helps patients improve balance, muscle strength, endurance, flexibility, and posture. Usually, a therapist develops a physical training program to help patients retain their locomotor abilities, but in many cases, the ...

Emerging mobile health (mHealth) and eHealth technology could provide opportunities for remote monitoring and interventions for people with mental health and neurological disorders. RADAR-base is a modern mHealth data collection platform built around ...

Collaborative writing has been a common activity in different professions for many years. Researchers from multiple disciplines, including from HCI and CSCW, have experimented and evaluated a number of collaborative writing tools. However, with the ...

I am a fifth year Ph.D. Student (enrolled January '14) working in Data Science (Department of Mathematics) at Shiv Nadar University, India. I have an undergraduate major in Computer Science, and my research interests lie in two primary areas - (i) ...

Our goal is to explore the changes of driver's behavior in developing country context which changes through numerous factors and brings discomfort to their daily life. Our implemented system is able to give the insight of cardiovascular changes which ...

With the vision of building "A Smart World", Internet of Things (IoT) plays a crucial role where users, computing systems and objects with sensing and actuating capabilities cooperate with unparalleled convenience. Among many applications of IoT, ...

Electrophoretic devices, also known as Electronic Paper (E-paper), are gaining popularity due to their merits including low-energy consumption, flexible form factors as well as their non-glowing nature. These advantages are making E-paper an interesting ...

Activity recognition and understanding are very important research areas. Video (RGB-Depth) sensors, accelerometer, LoRaWAN, etc. are explored for activity recognition for different applications. In this short paper, research areas related to these ...

Sensor-based activity recognition is my core research area. As a Ph.D. student, I have been working on this area for healthcare monitoring system, fall detection, and elderly support system. My research approach is to improving activity recognition ...

Chronic Kidney Diseases are one of the leading reasons for untimely deaths worldwide taking lives of millions of people every year. Bangladesh as a developing country with the dense population and inadequate resources is very vulnerable to the problem. ...

Autism has emerged as one of the most critical issues globally in recent times. The situation is more complicated in developing countries like Bangladesh where infrastructure is not up to the mark. The education system for autistic people in Bangladesh ...

Sentiment Analysis is one of the research fields of computer science that analyzes human feedback and response based on text inputs. So far there has been a significant number of works on sentiment analysis of recorded text inputs. In this paper, we are ...

This paper outlines an ongoing PhD dissertation research, seeking to explore the user experience of a non-traditional form of haptic modality --- compression, through the use of computer-mediated on-body compression systems with embedded active ...

Foot-based interaction for skill transfer is an underexplored domain. The goal of this research is to explore systems for transferring foot movements from an instructor to a recipient in a real-time performance-oriented context. Given this, we designed ...

In this project, a Secret Bot has been designed which is controlled by an android device remotely and can secretly capture and transmit the video to the user of any incident. Especially, in the situations of the terrorist attack, hostage taking or ...

I explore designing and creating sensing modules for older adults to guide them in avoiding prolonged exposure to harmful pollutants, such as PM2.5 and noise, that are positively associated with mild cognitive impairment as per what recent ...

In this study, an automated healthcare assistance "Nurse Bot" has been developed for elderly population. For past few decades, life expectancy has increased and the global percentage of elderly population is upward. But the rise of this ageing ...

Human security and privacy are two different aspects and making these two things work together is quite complicated. With the development of cellular devices, location tracking capabilities has improved remarkably. People are able to share their exact ...

People with visual impairments (PVI) experience difficulties with daily tasks that require visual queues, making PVI dependent on sighted people. Emergent assistive technology has proven to enable PVI with performing complex tasks, such as item ...

Research in previous decades has explored foot interaction via foot interfaces, namely with pressure sensitive insoles in different applications such as gait analysis, rehabilitation, explicit gestures, and implicit interactions. However, there is still ...

The goal of my research is to study how individuals perform self-experiments and to build behavior-powered systems that help them run such experiments. I have developed SleepCoacher, a sleep-tracking system that provides and evaluates the effect of ...

Emotions are the driving force for posting content on a social media platform. Although modeling and predicting in emotion with social media have been proposed, they often require post-investigation such as sentiment analysis. This often limits users to ...

The explosion of IoT devices has meant that our daily activities will continue to be influenced by such technologies. This paves the way for a deluge of notifications to interrupt us frequently. Such interruptions can result in frequent task switching ...

This is my application document to attend the UbiComp 2018 Broadening Participation Workshop. In this application, I introduce myself first, including the current Ph.D. program I am enrolled in. Then, I go through the topics I am working on, such as the ...

Inappropriate alcohol drinking may cause health and social problems. Although controlling the intake of alcohol is effective to solve the problem, it is laborious to track consumption manually. A system that automatically records the amount of alcohol ...

Mental-health monitoring, biometric security analysis have lots of impact in the smart world. Speech recognition, voice identification are key technologies in these fields. However these are very challenging research areas because voice features can ...

Life transitions are part of human experience. For women, transitions are an integral part of their lives, mainly due to the inherent biological changes unique to them. Life transitions such as menarche, pregnancy, miscarriage, childbirth, and menopause ...

Systems that are disconnected from human centered thinking tend to create a gap. The work presents initiatives that emphasizes on connecting them.

I, Sahiti Kunchay, am a student of the College of Information Sciences and Technology (IST) at The Pennsylvania State University, enrolled in the IST's PhD program's Fall 2018 cohort, with the expected date of graduation being May 2023. My undergraduate ...

This research project aims to develop a scalable manufacturing method for garment-integrated technologies that preserve user comfort and work within the constraints of typical apparel manufacturing processes while providing required electrical ...

In recent time stroke becomes life threatening deadly cause and it just increasing at global alarming state. Stroke occurs when blood flow interrupt in brain. Now it is highly demanded to use computational expertise for detecting stroke. The proposed ...

"RICKSHAW BUDDY" is a low-cost automated assistance system for three-wheeler auto rickshaws to reduce the high rate of accidents in the streets of developing countries like Bangladesh. It is a given fact that the lack of over speed alert, back camera, ...

Human beings are social by nature and like to form the group with the similar minded people. Therefore, for understanding the behaviour of an individual, besides the information of the individual, we need to look at the interaction of the individual in ...

We propose a novel method for knitting advanced smart garments (e.g., garments with targeted electrical or mechanical properties) using a single, spatially-varying, multi-material monofilament created using additive manufacturing (AM) techniques. By ...

In this document I introduce my PhD research that investigates responsive and emotive wearable technology. I outline my objectives for attending the Broadening Participation Workshop and how it would be valuable to attend in regard to the next steps of ...