Hand-gesture recognition based on EMG and event-based camera sensor fusion: A benchmark in neuromorphic computing
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 …
with speech to communicate. Nowadays, with the increasing use of technology, hand …
Towards Human-in-the-Loop Shared Control for Upper-Limb Prostheses: A Systematic Analysis of State-of-the-Art Technologies
Dexterous prosthetic hand is an essential rehabilitation assistant device to improve the life
quality of amputee patients. Despite the continuous emergence of commercial prostheses …
quality of amputee patients. Despite the continuous emergence of commercial prostheses …
Artificial intelligence meets medical robotics
Artificial intelligence (AI) applications in medical robots are bringing a new era to medicine.
Advanced medical robots can perform diagnostic and surgical procedures, aid rehabilitation …
Advanced medical robots can perform diagnostic and surgical procedures, aid rehabilitation …
An artificial somatic reflex arc
The emulation of human sensation, perception, and action processes has become a major
challenge for bioinspired intelligent robotics, interactive human–machine interfacing, and …
challenge for bioinspired intelligent robotics, interactive human–machine interfacing, and …
Clinical perspectives in upper limb prostheses: An update
Abstract Purpose of Review This paper aims to summarise the development trends in upper
limb bionics over the past 5 years. Recent Findings Increasingly pattern recognition and …
limb bionics over the past 5 years. Recent Findings Increasingly pattern recognition and …
Deep learning-based artificial vision for grasp classification in myoelectric hands
Objective. Computer vision-based assistive technology solutions can revolutionise the
quality of care for people with sensorimotor disorders. The goal of this work was to enable …
quality of care for people with sensorimotor disorders. The goal of this work was to enable …
Computer vision-based grasp pattern recognition with application to myoelectric control of dexterous hand prosthesis
Artificial intelligence provides new feasibilities to the control of dexterous prostheses. To
achieve suitable grasps over various objects, a novel computer vision-based classification …
achieve suitable grasps over various objects, a novel computer vision-based classification …
Designing prosthetic hands with embodied intelligence: The KIT prosthetic hands
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 …
prosthetic hands often are not intuitive to control and easy to use by amputees …
The kit prosthetic hand: design and control
The development and control of prosthetic hands is an active research area and recently
progress in mechatronics, sensor integration and innovative control has been made …
progress in mechatronics, sensor integration and innovative control has been made …
[HTML][HTML] Semi-autonomous control of prosthetic hands based on multimodal sensing, human grasp demonstration and user intention
Semi-autonomous control strategies for prosthetic hands provide a promising way to simplify
and improve the grasping process for the user by adopting techniques usually applied in …
and improve the grasping process for the user by adopting techniques usually applied in …