Hands are vital in a wide range of fundamental daily activities, and neurological diseases
that impede hand function can significantly affect quality of life. Wearable hand gesture …

In the field of rehabilitation, the electromyography (EMG) signal plays an important role in
interpreting patients' intentions and physical conditions. Nevertheless, utilizing merely the …

High-density surface electromyography (HD-sEMG) is to record muscles' electrical activity
from a restricted area of the skin by using two dimensional arrays of closely spaced …

While most wearable gesture recognition approaches focus on the forearm or fingers, the
wrist may be a more suitable location for practical use. We present the design and validation …

Gestures play an important role in human-computer interaction, providing a potentially
intuitive way to bridge the gap between human intention and the control of smart devices …

To develop multi-functionalhuman-machine interfaces that can help disabled people
reconstruct lost functions of upper-limbs, machine learning (ML) and deep learning (DL) …

We present CapBand, a battery-free hand gesture recognition wearable in the form of a
wristband. The key challenges in creating such a system are (1) to sense useful hand …

This paper presents a new approach to wearable hand gesture recognition and finger angle
estimation based on the modified barometric pressure sensing. Barometric pressure sensors …

The automatic recognition of how people use their hands and fingers in natural settings--
without instrumenting the fingers--can be useful for many mobile computing applications. To …

This paper reviews model-based and model-free approaches for continuous prediction of
human joint motion using surface electromyography (EMG) signals. The review focuses on …