ISWC '18: Proceedings of the 2018 ACM International Symposium on Wearable Computers

Identifying the finger used for touching and measuring the force of the touch provides valuable information on manual interactions. This information can be inferred from electromyography (EMG) of the forearm, measuring the activation of the muscles ...

We propose a method to improve ultrasound-based in-air gesture recognition by altering the acoustic characteristics of a microphone. The Doppler effect is often utilized to recognize ultrasound-based gestures. However, increasing the number of gestures ...

We present SeeSaw, a synchronous gesture interface for commodity smartwatches to support watch-hand only input with no additional hardware. Our algorithm, which uses correlation to determine whether the user is rotating their wrist in synchrony with a ...

The photo reflective sensor (PRS), a tiny distant-measurement module, is a popular electronic component widely used in wearable user-interfaces. An unavoidable issue of such wearable PRS devices in practical use is the need of user-independent training ...

In our daily lives, we rely heavily on our visual and auditory channels to receive information from others. In the case of impairment, or when large amounts of information are already transmitted visually or aurally, alternative methods of communication ...

We present Movelet, a self-actuated bracelet that can move along the user's forearm to convey feedback via its movement and positioning. In contrast to other eyes-free modalities such as vibro-tactile feedback, that only works momentarily, Movelet is ...

This paper investigates the effects of using passive haptic learning to train the skill of comprehending text from vibrotactile patterns. The method of transmitting messages, skin-reading, is effective at conveying rich information but its active ...

We present a study comparing the effect of real-time wearable feedback with traditional training methods for cardiopulmonary resuscitation (CPR). The aim is to ensure that the students can deliver CPR with the right compression speed and depth. On the ...

This paper presents a structured survey of 119 publications from the proceedings of the International Symposium on Wearable Computers (ISWC) from 2013 to 2017. This survey on research methods and purposes is based upon a classification schema used by ...

Deep neural networks, including recurrent networks, have been successfully applied to human activity recognition. Unfortunately, the final representation learned by recurrent networks might encode some noise (irrelevant signal components, unimportant ...

With the fast evolution in the area of processing units and sensors, wearable devices are becoming more popular among people of all ages. Recently, there has been renewed interest in exploiting the capabilities of wearable sensors for person recognition ...

Sliding window based activity recognition chains represent the state-of-the-art for many mobile and embedded scenarios as they are common in wearable computing. The length of the analysis frames is a crucial system parameter that directly influences the ...

Feature extraction is a critical step in sliding-window based standard activity recognition chains. Recently, distribution based features have been introduced that showed excellent generalization capabilities across a wide range of application domains ...

Effective training without risk of injury based on quantitative data is important for all athletes. In bicycle racing, pedaling skill analysis with electromyography (EMG) is gaining attention as a technique to use in addition to power training and heart ...

Muscle fatigue detection and tracking has gained significant attention as the sports science and rehabilitation technologies developed. It is known that muscle fatigue can be evaluated through surface Electromyography (sEMG) sensors, which are portable, ...

In modern showjumping and cross-country riding, the success of the horse-rider-pair is measured by the ability to finish a given course of obstacles without penalties within a given time. A horse performs a successful (penalty-free) jump, if no element ...

Human Activity Recognition (HAR) with body-worn sensors has been studied intensively in the past decade. Existing approaches typically rely on data from inertial sensors. This paper explores the potential of using point cloud data gathered from wearable ...

Seismocardiography (SCG) is a cardiac diagnostic method which evaluates vibrations of the chest via accelerometers. Current prototypical wearable SCG sensor patches are combined with electrocardiography (ECG) sensors which enables the estimation of ...

Deep Learning methods have become very attractive in the wider, wearables-based human activity recognition (HAR) research community. The majority of models are based on either convolutional or explicitly temporal models, or combinations of both. In this ...

E-textiles that enable distribution of electronic components have advantages for wearable technology, in that functionality, power, and networking can be spread over a much larger area while preserving hand-feel and wearability. However, textile-...

This paper presents a new approach to implement wearable haptic devices using Shape Memory Alloy (SMA) wires. The proposed concept allows building silent, soft, flexible and lightweight wearable devices, capable of producing the sense of pressure on the ...

In this paper, 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) ...

The sensation of touch is integral to everyday life. Current haptics research focuses mainly on vibrations, tap, and point pressures, but the sensation of distributed pressures such as compression are often overlooked. We investigated the subjective ...

Washing hands is one of the easiest yet most effective ways to prevent spreading illnesses and diseases. However, not adhering to thorough handwashing routines is a substantial problem worldwide. For example, in hospital operations lack of hygiene leads ...

We present a spotting network composed of Gaussian Mixture Hidden Markov Models (GMM-HMMs) to detect sparse natural gestures in free living. The key technical features of our approach are (1) a method to mine non-gesture patterns that deals with the ...

We introduce a method of using wrist-worn accelerometers to measure non-verbal social coordination within a group that includes autistic children. Our goal was to record and chart the children's social engagement - measured using interpersonal movement ...

In this paper, we present I⁴S, a system that identifies item interactions of customers in a retail store through sensor data fusion from smartwatches, smartphones and distributed BLE beacons. To identify these interactions, I⁴S builds a gesture-...

Virtual and augmented reality headsets are unique as they have access to our facial area: an area that presents an excellent opportunity for always-available input and insight into the user's state. Their position on the face makes it possible to ...

Order picking accounts for 55% of the annual $60 billion spent on warehouse operations in the United States. Reducing human-induced errors in the order fulfillment process can save warehouses and distributors significant costs. We investigate a radio-...

We extend the interaction space of low-cost mobile virtual reality (VR) by introducing bidirectional scrolling and discrete selection using magnetic sensing. Our design uses the original Google Cardboard v1 input components, modifying only the cardboard ...

Teleconferencing is touted to be one of the main and most powerful uses of virtual reality (VR). While subtle facial movements play a large role in human-to-human interactions, current work in the VR space has focused on identifying discrete emotions ...

1D Eyewear uses 1D arrays of LEDs and pre-recorded holographic symbols to enable minimal head-worn displays. Our approach uses computer-generated holograms (CGHs) to create diffraction gratings which project a pre-recorded static image when illuminated ...

We present CASPER, a charging solution to enable a future of wearable devices that are much more distributed on the body. Instead of having to charge every device we want to adorn our bodies with, may it be distributed health sensors or digital jewelry, ...

SkinMorph is an on-skin interface which can selectively transition between soft and rigid states to serve as a texture-tunable wearable skin output. This texture change is made possible through the material design of smart hydrophillic gels. These gels ...

This paper proposes DeepAuth, an in-situ authentication framework that leverages the unique motion patterns when users entering passwords as behavioural biometrics. It uses a deep recurrent neural network to capture the subtle motion signatures during ...

Glanceability and low access time are arguably the key assets of a smartwatch. Smartwatches are designed for, and excel at micro-interactions- simple tasks that only take seconds to complete. However, if a user desires to transition to a task requiring ...

We present LYRA, a modular in-flight system that enhances service and assists flight attendants during their work. LYRA enables passengers to browse and order services from their smartphones. Smart glasses and a smart shoe-clip with RFID reader module ...

The form factors of current wearable devices are designed and limited to be worn at specifically defined on-body locations (such as the wrist), which can limit the interaction capabilities based on physical constraints in body movement and positioning. ...

This paper introduces the idea of using wearable, multi-modal body and brain sensing, in a theatrical setting, for neuroscientific research. Wearable motion capture suits are used to track the body movements of two actors while they enact a sequence of ...

Fitness related wearables have become ubiquitous in the recent past. Nevertheless, short battery life of these devices is still a pressing issue. Limited battery capacity in small form factor and power hungry continuous monitoring of accelerometer have ...

We can benefit from various services with context recognition using wearable sensors. In this study, we focus on the contexts acquired from sensor data in the nostrils. Nostrils can provide various contexts on breathing, nasal congestion, and higher ...

Muscle fatigue monitoring is important for injury prevention in sports. Previous studies have shown that wearable electromyography (EMG) sensors on limb muscles can be used to monitor the level of muscle fatigue continuously. However, there are two main ...

We describe the development of a system for recognizing dolphin whistles on the CHAT (cetacean hearing and telemetry) wearable underwater computer system. An Nvidia Jetson TK1 single board computer was installed in the existing chat systems to improve ...

Sleep breathing disorder is a serious threat to a large share of the population. This paper presents a low-cost, tiny sensor system based on Volatile Organic Component (VOC) sensing for the detection of sleep apnea/hypopnea. We present two designs, ...

Haptic technology can be used as a tool for learning. Can even the haptic elements in a smartwatch teach a new skill? Here we present a case of using a smartwatch for passive tactile learning. We use the Sony Smartwatch 3 to teach users Morse code while ...

This paper introduces Augmented Jump, a backpack multirotor system for jumping ability augmentation. Augmented Jump hovers and supports users' weight by a constant upward power of thrust. Users can jump higher and stay in the air for a longer time than ...

Wearable toolkits simplify the integration of micro-electronics into fabric. They require basic knowledge about electronics for part interconnections. This technical aspect might be perceived as a barrier. We propose YAWN, a bus-based, modular wearable ...

We design and 3D print conductive lines and EMG electrodes on eyeglasses temples. We evaluate the electrical property and the EMG signal quality of the printed components and report line resistance, electrode surface resistance, and EMG signal quality. ...

This work translates an inspiration derived from the Disney classic `Sleeping Beauty' to realize a smart child's costume with color-changing capabilities. The dress uses addressable multi-color NeoPixel LEDs to change its surface color based on input ...

The Embodisuit allows its wearer to map signals onto different places on their body. Informed by embodied cognition, the suit receives signals from an IoT platform, and each signal controls a different haptic actuator on the body. Knowledge is ...

The Empathy Amulet is a wearable interpretation of Philip K. Dick's empathy box from his novel Do Androids Dream of Electronic Sheep? [3]. In the novel, thousands of people were anonymously connected with each other both haptically and emotionally when ...

We present the design and prototype of the Idle Stripes shirt, which is an aesthetic, clothing-integrated display, reflecting the wearer's physical activity in an ambient manner. The design is targeted to be smart business-wear for an office worker, ...

The University of Minnesota Mechanical Engineering Department, in collaboration with the Theater Arts & Dance Department, designed and built smart material actuated angel wings for the theater production of José Rivera's play Marisol. The design ...

To examine creative smart clothing design for sports and fitness a fastest growing wearable market, the current study examined an interactive cycling outfit incorporating solar powered LED sensor lights. The completed garment design contributes to eco-...

The mechanism of astronaut injuries inside rigid spacesuits is not well understood, due to difficulty visualizing intra-spacesuit body motions. An alternative method is to record muscle activation signals with electromyography (EMG); however, the ...

The Power of Proximity fashion tech collection creates a network between garments to show what users have in common with each other. The collection uses a mesh network to link the garments where pre-processed data taken from social media is stored ...

Human perception has long been influenced by technological breakthroughs. An intimate mediation of technology lies in between our direct perceptions and the environment we perceive. Through three extreme ideal types of perceptual machines, this project ...

Sense is a responsive garment that visualizes the global phenomenon of coral bleaching. Sense examines the current scientific shift in which technology converges with biology and embody the beauty, power and fragility of nature. This project explores ...

Nanogami is a bioresponsive garment to visualize the importance of the microbiome on collective wellbeing. The microbiome is the group of bacteria, viruses, and cells that live within and on our bodies. This galaxy of particles makes up more than half ...