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 …

Intelligent construction is an important construction trend. With the growing number of
intelligent autonomous systems implemented in the construction area, understanding and …

In the human–robot interaction, especially when hand contact appears directly on the robot
arm, the dynamics of the human arm presents an essential component in human–robot …

We contribute a novel user-and activity-independent kinematics-based regressive model for
continuously predicting ballistic hand movements in virtual reality (VR). Compared to prior …

Among the potential biological signals for human-machine interactions (brain, nerve, and
muscle signals), electromyography (EMG) widely used in clinical setting can be obtained …

Human motion intention recognition is a key to achieve perfect human‐machine
coordination and wearing comfort of wearable robots. Surface electromyography (sEMG), as …

The method to estimate joint motion quickly and accurately from surface electromyogram
(sEMG) has been explored by many researchers. However, the effect of different grabbing …

The continuous control of rehabilitation robots based on surface electromyography (sEMG)
is a natural control strategy that can ensure human safety and ease the discomfort of human …

To estimate the continuous human motion from surface electromyography (sEMG), it is
required to extract hidden information from sEMG and generalize an estimation model. In …

Introduction The myoelectric control strategy, based on surface electromyographic signals,
has long been used for controlling a prosthetic system with multiple degrees of freedom …