E-skins: Biomimetic sensing and encoding for upper limb prostheses
MM Iskarous, NV Thakor - Proceedings of the IEEE, 2019 - ieeexplore.ieee.org
Prosthetic hands, today, have anthropomorphic, multifinger design. A common control
method uses pattern recognition of electromyogram signals. However, these prostheses do …
method uses pattern recognition of electromyogram signals. However, these prostheses do …
Anthropomorphic finger antagonistically actuated by SMA plates
Most robotic applications that contain shape memory alloy (SMA) actuators use the SMA in a
linear or spring shape. In contrast, a novel robotic finger was designed in this paper using …
linear or spring shape. In contrast, a novel robotic finger was designed in this paper using …
Performance of forearm FMG for estimating hand gestures and prosthetic hand control
This study is aimed at exploring the prediction of the various hand gestures based on Force
Myography (FMG) signals generated through piezoelectric sensors banded around the …
Myography (FMG) signals generated through piezoelectric sensors banded around the …
Development of a control system for artificially rehabilitated limbs: a review
Abstract Development of an advanced control system for prostheses (artificial limbs) is
necessary to provide functionality, effectiveness, and preferably the feeling of a sound living …
necessary to provide functionality, effectiveness, and preferably the feeling of a sound living …
The recognition of multi-finger prehensile postures using LDA
N Wang, Y Chen, X Zhang - Biomedical Signal Processing and Control, 2013 - Elsevier
The prehensile hand gestures play an important role in daily living for seizing or holding
subjects stably. In order to realize the accurate recognition of eight prehensile hand gestures …
subjects stably. In order to realize the accurate recognition of eight prehensile hand gestures …
Bioinspired sinusoidal finger joint synergies for a dexterous robotic hand to screw and unscrew objects with different diameters
N Karnati, BA Kent, ED Engeberg - IEEE/ASME Transactions on …, 2012 - ieeexplore.ieee.org
This paper addresses the complex task of unscrewing and screwing objects with a
dexterous anthropomorphic robotic hand in two cases: with the first finger and thumb and …
dexterous anthropomorphic robotic hand in two cases: with the first finger and thumb and …
Continuous grasping force estimation with surface EMG based on huxley-type musculoskeletal model
X Xu, H Deng, Y Zhang, J Chen - IEEE Transactions on Neural …, 2022 - ieeexplore.ieee.org
Continuous grasping force estimation based on electromyography (EMG) signals, is very
useful in practical applications including prosthetic control and human force observation …
useful in practical applications including prosthetic control and human force observation …
State of the Art Methods of Machine Learning for Prosthetic Hand Development: A Review
In developing countries, a number of upper limb incidence that leads to trauma and
amputation is increasing. The development of prosthetic hands has been carried out by …
amputation is increasing. The development of prosthetic hands has been carried out by …
Robust tracking control of a minimal realization model of an impaired human hand for anthropomorphic coordination
Objective Physiologically relevant optimal controllers better represent the decision-making
process of the central nervous system (CNS) with proper neural inputs and proprioceptor …
process of the central nervous system (CNS) with proper neural inputs and proprioceptor …
Mixed -synthesis tracking control and disturbance rejection in a robotic digit of an impaired human hand for anthropomorphic coordination
In a partially impaired anthropomorphic hand, maintaining the movement coordination of the
robotic digits with the central nervous system (CNS) and natural digits is crucial for robust …
robotic digits with the central nervous system (CNS) and natural digits is crucial for robust …