Human lower limb activity recognition (HLLAR) has grown in popularity over the last decade
mainly because to its applications in the identification and control of neuromuscular …

The last few years witnessed radical improvements in lower-limb prostheses. Researchers
have presented innovative solutions to overcome the limits of the first generation of …

Background Spinal cord injury (SCI) is a severe medical condition affecting the hand and
locomotor function. New medical technologies, including various wearable devices, as well …

Objective: The next generation prosthetic hand that moves and feels like a real hand
requires a robust neural interconnection between the human minds and machines. Methods …

Recent advancements in biomimetics have spurred significant innovations in prosthetic limb
development by leveraging the intricate designs and mechanisms found in nature …

Objective. Deep learning-based neural decoders have emerged as the prominent approach
to enable dexterous and intuitive control of neuroprosthetic hands. Yet few studies have …

Modern myoelectric prosthetic hands have multiple independently controllable degrees of
freedom, but require constant visual attention to use effectively. Somatosensory feedback …

Objective. Upper limb loss can profoundly impact an individual's quality of life, posing
challenges to both physical capabilities and emotional well-being. To restore limb function …

Background Neurotraumas or neurodegenerative diseases often result in proprioceptive
deficits, which makes it challenging for the nervous system to adapt to the compromised …

For persons with lower extremity (LE) amputation, acquisition of surface electromyography
(sEMG) from within the prosthetic socket remains a significant challenge due to the dynamic …