Amputation of the upper limb brings heavy burden to amputees, reduces their quality of life,
and limits their performance in activities of daily life. The realization of natural control for …

Data generated from sources such as wearable sensors, medical imaging, personal health
records, and public health organizations have resulted in a massive information increase in …

Gesture recognition in non-intrusive muscle-computer interfaces is usually based on
windowed descriptive and discriminatory surface electromyography (sEMG) features …

With the development of virtual reality (VR) and human-computer interaction technology,
how to use natural and efficient interaction methods in the virtual environment has become a …

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 …

We present Tomo, a wearable, low-cost system using Electrical Impedance Tomography
(EIT) to recover the interior impedance geometry of a user's arm. This is achieved by …

Smartwatches and wearables are unique in that they reside on the body, presenting great
potential for always-available input and interaction. Their position on the wrist makes them …

This review discusses the critical issues and recommended practices from the perspective of
myoelectric interfaces. The major benefits and challenges of myoelectric interfaces are …

We present a framework for gesture customization requiring minimal examples from users,
all without degrading the performance of existing gesture sets. To achieve this, we first …

This paper presents a framework for hand gesture recognition based on the information
fusion of a three-axis accelerometer (ACC) and multichannel electromyography (EMG) …