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Mental fatigue is a crucial aspect that has gained attention across various disciplines due to its impact on overall well-being. While previous research has explored the use of wearable devices for detecting mental fatigue, limited investigation has been ...

While the training of vertical jumps offers benefits for agility and performance across various amateur sports, the objective measurement of jump height remains a challenge compared to simpler assessments like the broad jump distance in a sand pit. We ...

We propose a hands-free and less perceptible gesture sensing method of the tongue by capturing the bone conduction sound generated when the tongue rubs the teeth. The sound is captured by the bone conduction microphones attached behind the ears. In this ...

Over the past decades, Electrodermal Activity (EDA)-based stress detection systems have observed increasing interest due to the significant impact of stress on daily life and the need for continuous, unobtrusive monitoring. The wearable form-factor and ...

Driving under stress negatively affects driving behaviour, increasing the risk of dangerous traffic situations and accidents. To effectively reduce driving stress, it is crucial to gain insights into stress triggers using ubiquitous stress detection ...

Stress management is paramount to maintaining optimal health and well-being; stress builds up in spikes, causing problems like hypertension and anxiety, necessitating personalized interventions delivered in real-time through wearable technology. This ...

Electrodermal activity (EDA) is a physiological signal that can be used to infer humans' affective states and stress levels. EDA can nowadays be monitored using unobtrusive wearable devices, such as smartwatches, and leveraged in personal informatics ...

Sleep behavior significantly impacts health and acts as an indicator of physical and mental well-being. Monitoring and predicting sleep behavior with ubiquitous sensors may therefore assist in both sleep management and tracking of related health ...

We present our musical performance exploration of liminal spaces, which focuses on the interconnected physicality of bodies in music, using biosignals and gestural, movement-based interaction to shape live performances in novel ways. Physical movement is ...

RaveNET connects people to music, enabling musicians to modulate sound using signals produced by their own bodies or the bodies of others. We present three wearable prototype nodes in an inaugural RaveNET performance: Bones, an anti-corset, uses ...

Fabrics are seen as the foundation for e-textile interfaces but contribute their own tactile properties to interaction. We examine the role of fabrics in gestural interaction from a novel, textile-focused view. We replicated an eTextile sensor and ...

In this work, we present a lightweight attention network to perform Time Series Classification on Edge devices. We evaluate the merit of our system on a Human Activity Recognition dataset and show the demonstration with the help of a Wearable device (...

Accurately assessing a child’s health status and taking appropriate action in case of illness or other emergencies is crucial to recording and sharing a childcare situation, such as sleeping hours, amount of exercise, and timing of meals. Although ...

Fit of an e-textile garment has become increasingly important as more advanced wearable technology applications demand precise placement of sensors and actuators. Human anthropometry is complex and varied, and for many applications, a single e-textile ...

Customized, on-device applications that provide timely interventions about smoking episodes are very helpful for smoking cessation. For this, real-time detection of smoking puffs are necessary through unobtrusive wearable devices. This work demonstrates ...

We present MoCaPose, a novel wearable motion capturing (MoCap) approach to continuously track the wearer's upper body's dynamic poses through multi-channel capacitive sensing integrated in fashionable, loose-fitting jackets. Unlike conventional wearable ...

In this paper, we introduce Affective Umbrella, a novel system to record, analyze and visualize physiological data in real time via an umbrella handle. We implement a biofeedback loop design in the system that triggers visualization changes to reflect ...

Over the last decade, facial landmark tracking and 3D reconstruction have gained considerable attention due to their numerous applications such as human-computer interactions, facial expression analysis, and emotion recognition, etc. Traditional ...

ThumbTrak is a novel wearable input device that recognizes 12 micro-finger poses in real-time. Poses are characterized by the thumb touching each of the 12 phalanges on the hand. It uses a thumb-ring, built with a flexible printed circuit board, which ...

We demonstrate how an array of custom-made strain and bend sensors could be integrated into a stretchable sleeve to infer the textile deformation. The angles and elongation measured by the sensors can be used by an optimisation-based algorithm to infer ...