This manuscript reviews historical and recent studies that focus on supplementary sensory
feedback for use in upper limb prostheses. It shows that the inability of many studies to …

Myoelectric control for prosthetic hands is an important topic in the field of rehabilitation.
Intuitive and intelligent myoelectric control can help amputees to regain upper limb function …

Hand gestures are a form of non-verbal communication used by individuals in conjunction
with speech to communicate. Nowadays, with the increasing use of technology, hand …

The use of anthropomorphic robotic hands for assisting individuals in situations where
human hands may be unavailable or unsuitable has gained significant importance. In this …

From last decade, Big data analytics and machine learning is a hotspot research area in the
domain of agriculture. Agriculture analytics is a data intensive multidisciplinary problem. Big …

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

Artificial intelligence provides new feasibilities to the control of dexterous prostheses. To
achieve suitable grasps over various objects, a novel computer vision-based classification …

ABSTRACT A decade ago, a group of researchers from academia and industry identified a
dichotomy between the industrial and academic state-of-the-art in upper-limb prosthesis …

Hand prostheses should provide functional replacements of lost hands. Yet current
prosthetic hands often are not intuitive to control and easy to use by amputees …

Artificial neural networks (ANNs) are known to be a powerful tool for data analysis. They are
used in social science, robotics, and neurophysiology for solving tasks of classification …