Most wearable robots such as exoskeletons and prostheses can operate with dexterity,
while wearers do not perceive them as part of their bodies. In this perspective, we contend …

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 …

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 …

Objective. Peripheral nerve stimulation (PNS) has been demonstrated as an effective way to
selectively activate muscles and to produce fine hand movements. However, sequential …

Over the years, patients with partial hand loss have relied on expensive prosthetics to
recover some of the hand functionality. Fortunately, advancements in additive manufacturing …

Background and purpose Fascicular targeting of longitudinal intrafascicular electrode (FAST-
LIFE) interface enables hand dexterity with exogenous electrical microstimulation for …

This paper investigates the application of Embodied Intelligence (EI) in assistive
technologies for the Blind and Low Vision (BLV) community. The research identifies the …

The vast majority of modern neuroprosthetic devices operate by delivering electrical current
to targeted tissue within the nervous system. Most functional restoration objectives require …

Advances in artificial intelligence and machine learning are catalyzing a revolution in
neuroprosthetics that promises to transform disability into capability for millions of people …