Hand synergies: Integration of robotics and neuroscience for understanding the control of biological and artificial hands
The term 'synergy'–from the Greek synergia–means 'working together'. The concept of
multiple elements working together towards a common goal has been extensively used in …
multiple elements working together towards a common goal has been extensively used in …
Current trends and confounding factors in myoelectric control: Limb position and contraction intensity
This manuscript presents a hybrid study of a comprehensive review and a systematic
(research) analysis. Myoelectric control is the cornerstone of many assistive technologies …
(research) analysis. Myoelectric control is the cornerstone of many assistive technologies …
EMG feature evaluation for improving myoelectric pattern recognition robustness
In pattern recognition-based myoelectric control, high accuracy for multiple discriminated
motions is presented in most of related literature. However, there is a gap between the …
motions is presented in most of related literature. However, there is a gap between the …
A survey of sensor fusion methods in wearable robotics
Modern wearable robots are not yet intelligent enough to fully satisfy the demands of end-
users, as they lack the sensor fusion algorithms needed to provide optimal assistance and …
users, as they lack the sensor fusion algorithms needed to provide optimal assistance and …
A versatile embedded platform for EMG acquisition and gesture recognition
Wearable devices offer interesting features, such as low cost and user friendliness, but their
use for medical applications is an open research topic, given the limited hardware resources …
use for medical applications is an open research topic, given the limited hardware resources …
The role of muscle synergies in myoelectric control: trends and challenges for simultaneous multifunction control
Myoelectric control is filled with potential to significantly change human–robot interaction
due to the ability to non-invasively measure human motion intent. However, current control …
due to the ability to non-invasively measure human motion intent. However, current control …
Deep neural network approach in EMG-based force estimation for human–robot interaction
In the human–robot interaction, especially when hand contact appears directly on the robot
arm, the dynamics of the human arm presents an essential component in human–robot …
arm, the dynamics of the human arm presents an essential component in human–robot …
sEMG-based gesture recognition with convolution neural networks
The traditional classification methods for limb motion recognition based on sEMG have been
deeply researched and shown promising results. However, information loss during feature …
deeply researched and shown promising results. However, information loss during feature …
Comparison of sEMG-based feature extraction and motion classification methods for upper-limb movement
S Guo, M Pang, B Gao, H Hirata, H Ishihara - sensors, 2015 - mdpi.com
The surface electromyography (sEMG) technique is proposed for muscle activation detection
and intuitive control of prostheses or robot arms. Motion recognition is widely used to map …
and intuitive control of prostheses or robot arms. Motion recognition is widely used to map …
Improving the functionality, robustness, and adaptability of myoelectric control for dexterous motion restoration
The development of advanced and effective human–machine interfaces, especially for
amputees to control their prostheses, is very high priority and a very active area of research …
amputees to control their prostheses, is very high priority and a very active area of research …