Today, daily life is composed of many computing systems, therefore interacting with them in
a natural way makes the communication process more comfortable. Human–Computer …

This paper gives an overview of the different research works related to electromyographic
signals (EMG) classification based on Support Vector Machines (SVM). The article …

The mathematical properties of high-dimensional spaces seem remarkably suited for
describing behaviors produces by brains. Brain-inspired hyperdimensional computing …

Gesture recognition has multiple applications in medical and engineering fields. The
problem of hand gesture recognition consists of identifying, at any moment, a given gesture …

Recent improvements in ultrasound imaging enable new opportunities for hand pose
detection using wearable devices. Ultrasound imaging has remained under-explored in the …

With the deployment of collaborative robots in intelligent manufacturing, object hand-over
between humans and robots plays a significant role in human-robot collaborations. In most …

Dynamic hand gesture recognition, as an essential part of Human–Computer Interaction,
and especially an important way to realize Augmented Reality, has been attracting attention …

This paper presents a wearable electromyographic gesture recognition system based on the
hyperdimensional computing paradigm, running on a programmable parallel ultra-lowpower …

This article presents a low-power embedded platform that recognizes arm gestures by
decoding surface electromyography (EMG) signals of amputees. The system consists of …

This brief presents a wireless, low-power embedded system that recognizes hand gestures
by decoding surface electromyography (EMG) signals. Ten hand gestures used on …