Electromyography (EMG) signal is one of the widely used biological signals for human motor
intention prediction, which is an essential element in human-robot collaboration systems …

Stroke is one of the main causes of long-term disability worldwide, placing a large burden on
individuals and society. Rehabilitation after stroke consists of an iterative process involving …

In recent years, deep learning algorithms have become increasingly more prominent for
their unparalleled ability to automatically learn discriminant features from large amounts of …

Wearable technology is increasingly vital for improving sports performance through real-time
data analysis and tracking. Both professional and amateur athletes rely on wearable …

Muscle fatigue is an established area of research and various types of muscle fatigue have
been investigated in order to fully understand the condition. This paper gives an overview of …

Recognizing the very size of the brain's circuits, hyperdimensional (HD) computing can
model neural activity patterns with points in a HD space, that is, with HD vectors. Key …

Background The inability of users to directly and intuitively control their state-of-the-art
commercial prosthesis contributes to a low device acceptance rate. Since Electromyography …

摘要表面肌电信号(Surface electromyography, sEMG) 是人体自身的资源,
蕴含着关联人体运动的丰富信息, 用它作为交互媒介以构建人机交互(Human-robot interaction …

Myoelectric control for prosthetic hands is an important topic in the field of rehabilitation.
Intuitive and intelligent myoelectric control can help amputees to regain upper limb function …

With the rising of AR/VR technology and miniaturization of mobile devices, gesture
recognition is becoming increasingly popular in the research area of human-computer …