In recent years, myoelectric interfaces using surface electromyogram (EMG) signals have
been developed for assisting people with physical disabilities. Especially, in the myoelectric …

Simultaneous decoding of hand gestures and force levels has the potential to unlock a
broad range of home-based application scenarios in post-stroke rehabilitation. However …

The status of an operator's situation awareness is one of the critical factors that influence the
quality of the missions. Thus the measurement method of the situation awareness status is …

Electromyography (EMG) generated by human hand movements is usually used to decode
different action types with high accuracy. However, the classifications of the gestures rarely …

Different gras** gestures result in the change of muscular activity of the forearm muscles.
Similarly, the muscular activity changes with a change in grip force while gras** the …

Intention detection of the reaching movement is considerable for myoelectric human and
machine collaboration applications. A comprehensive set of handcrafted features was mined …

BACKGROUND: Grip force estimation is highly required in realizing flexible and accurate
prosthetic control. OBJECTIVE: This study presents a method to accurately estimate …

Advancements in instrumentation support improved powered ankle prostheses hardware
development. However, control algorithms have limitations regarding number and type of …

The study presents a novel scheme that recognizes and classifies different sub-phases
within the involuntary breathing movement (IBM) phase during breath-holding (BH). We …

Prosthetic hands empower amputees by automating control through surface
electromyography signals, which are electrical recordings of muscle activity during …