As physiological signals that are closely related to human motion, surface electromyography
(sEMG) signals have been widely used in human-robot interaction systems (HRISs). Some …

Dry epidermal electrodes that can always form conformal contact with skin can be used for
continuous long-term biopotential monitoring, which can provide vital information for disease …

Overuse-related musculoskeletal injuries mostly affect athletes, especially if involved in
preseason conditioning, and military populations; they may also occur, however, when …

Human-centric human-robot collaboration (HHRC) allows seamless collaboration between
humans and robots to fulfill flexible manufacturing operations in a shared workspace while …

Though physiological signal based human-machine interfaces (HMIs) have recently
developed rapidly, their practical use is restricted by many real-world environmental factors …

Surface electromyogram (sEMG) is widely used in active rehabilitation control for stroke
patients. However, the accuracy of movement recognition using sEMG signals is affected by …

During robot-assisted rehabilitation, failure to detect muscle fatigue in time may cause
severe damage to human muscles. Surface electromyography (sEMG) signals are widely …

The last few decades have emerged as a remarkable era for exploring and employing
electromyography (EMG) signals and their attributes in various applications such as clinical …

Heart disease should be treated quickly when symptoms appear. Machine-learning methods
for detecting heart disease require desktop computers, an obstacle that can have fatal …

Assembly torque monitoring is an important aspect of assembly process monitoring.
Currently, in manual assembly lines, torque monitoring sensors are usually installed on …