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 …

Fueled by the recent proliferation of energy-efficient and energy-autonomous or self-
powered nanotechnology-based wearable smart systems, human motion intention …

To develop multi-functionalhuman-machine interfaces that can help disabled people
reconstruct lost functions of upper-limbs, machine learning (ML) and deep learning (DL) …

Male fertility has been seen to be declining, prompting for more effective and accessible
means of its assessment. Artificial intelligence methods have been effective toward …

Surface electromyography (sEMG) is a non-invasive method of measuring neuromuscular
potentials generated when the brain instructs the body to perform both fine and coarse …

Ultrasound can non-invasively detect muscle deformations and has great potential
applications in prosthetic hand control. Traditional ultrasound equipment was usually too …

In this work, we present a systematic review on non-invasive HMIs employing hybrid
wearable sensor modalities for recognition of upper limb intentions. Different combinations …

Recently, human–machine interfaces (HMI) that make life convenient have been studied in
many fields. In particular, a hand gesture recognition (HGR) system, which can be …

In signal processing, multiresolution decomposition techniques allow for the separation of
an acquired signal into sub levels, where the optimal level within the signal minimises …

In recent years, the electroencephalography (EEG) brain–computer interface (BCI) has been
researched in the area of upper‐limb prosthesis control due to the promise of being able to …