Hands are vital in a wide range of fundamental daily activities, and neurological diseases
that impede hand function can significantly affect quality of life. Wearable hand gesture …

Introduction Soft robotic wearable devices, referred to as exosuits, can be a valid alternative
to rigid exoskeletons when it comes to daily upper limb support. Indeed, their inherent …

Hand gesture, one of the essential ways for a human to convey information and express
intuitive intention, has a significant degree of differentiation, substantial flexibility, and high …

Currently, electromyographic (EMG) signal gesture recognition is performed with devices of
many channels. Each channel gives a signal that must be filtered and processed, which …

The developments in engineering fields have extended the use of electromyography (EMG)
beyond traditional diagnostic applications to multifarious areas like movement analysis …

Over the past several years, electromyography (EMG) signals have been used as a natural
interface to interact with computers and machines. Recently, deep learning algorithms such …

Arm and finger paralysis, eg due to brain stem stroke, often results in the inability to perform
activities of daily living (ADLs) such as eating and drinking. Recently, it was shown that a …

Existing myoelectric prostheses can provide solutions to amputees for performing activities
of daily livings. However, there are several issues with these prostheses (1) performance are …

Electromyography (EMG) signal is one of the extensively utilised biological signals for
predicting human motor intention, which is an essential element in human-robot …

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