Smartwatches have become increasingly popular in recent times because of their capacity
to track different health indicators, including heart rate, patterns of sleep, and physical …

Currently, old-style personal Medicare techniques rely mostly on traditional methods, such
as cumbersome tools and complicated processes, which can be time consuming and …

Artificial intelligence has the potential to revolutionize healthcare, yet clinical trials in
neurological diseases continue to rely on subjective, semiquantitative and motivation …

Currently, identification of complex human activities is experiencing exponential growth
through the use of deep learning algorithms. Conventional strategies for recognizing human …

We present MoCaPose, a novel wearable motion capturing (MoCap) approach to
continuously track the wearer's upper body's dynamic poses through multi-channel …

The dissemination of information integrity at unprecedented speed and scale is a new
phenomenon with the potential for vast harm if used incorrectly, specially applied in …

In this work, we propose a novel single-end morphing capacitive sensing method for shape
tracking, FxC, by combining Folding origami structures and Capacitive sensing to detect the …

Introduction/Background Neck pain is a burdensome condition associated with pain,
disability, and economic cost. Neck pain has been associated with observable changes in …

Wearable devices for gait measurement are devices worn on the body to measure the gait of
the wearers. During gait measurement, several parameters are measured and the choice of …

Motion capture systems, used across various domains, make body representations concrete
through technical processes. We argue that the measurement of bodies and the validation of …