A review of the key technologies for sEMG-based human-robot interaction systems
K Li, J Zhang, L Wang, M Zhang, J Li, S Bao - … Signal Processing and …, 2020 - Elsevier
As physiological signals that are closely related to human motion, surface electromyography
(sEMG) signals have been widely used in human-robot interaction systems (HRISs). Some …
(sEMG) signals have been widely used in human-robot interaction systems (HRISs). Some …
Advances and disturbances in sEMG-based intentions and movements recognition: A review
Surface EMG-based gestures recognition systems are helping the disable to enjoy a better
life. Academic institutes and commercial companies have been developing a lot of sEMG …
life. Academic institutes and commercial companies have been developing a lot of sEMG …
SEMG signal classification using KNN classifier with FD and TFD features
Y Narayan - Materials Today: Proceedings, 2021 - Elsevier
For developing thebio-engineering inspired human–machine interface, surface
electromyography (SEMG) signals have been widely exploited in the last decade. Movement …
electromyography (SEMG) signals have been widely exploited in the last decade. Movement …
Muscle fatigue compensation of the electromyography signal for elbow joint angle estimation using adaptive feature
The purpose of this study is to develop and evaluate an adaptive feature to compensate the
effect of muscle fatigue in the elbow joint angle estimation. In the experiment protocol …
effect of muscle fatigue in the elbow joint angle estimation. In the experiment protocol …
基于表面肌电的意图识别方法在非理想条件下的研究进展
李自由, 赵新刚, 张弼, 丁其川, 张道辉, 韩建达 - 自动化学报, 2021 - aas.net.cn
在基于表面肌电信号(Surface electromyography, sEMG) 的意图识别研究领域,
目前大多数的研究主要集中在提高肌电识别的准确性方面. 然而, 在实际应用中, 基于sEMG …
目前大多数的研究主要集中在提高肌电识别的准确性方面. 然而, 在实际应用中, 基于sEMG …
Review of sEMG-based motion intent recognition methods in non-ideal conditions
LI Zi-You, Z Xin-Gang, Z Bi, D Qi-Chuan… - Acta Automatica …, 2021 - aas.net.cn
In sEMG (surface electromyography)-based recognition, most studies are currently focusing
on improving recognition accuracies. While in real applications, sEMG-based recognition …
on improving recognition accuracies. While in real applications, sEMG-based recognition …
Direct comparison of SVM and LR classifier for SEMG signal classification using TFD features
Y Narayan - Materials Today: Proceedings, 2021 - Elsevier
The performance of any bio-medical signal based robotic device depends upon the
classification accuracy of the system. In this context, surface electromyography (SEMG) …
classification accuracy of the system. In this context, surface electromyography (SEMG) …
Current work in the human-machine interface for ergonomic intervention with exoskeletons
TM Schnieders, RT Stone - Human Performance Technology …, 2019 - igi-global.com
This literature review of exoskeleton design provides a brief history of exoskeleton
development, discusses current research of exoskeletons with respect to the innate human …
development, discusses current research of exoskeletons with respect to the innate human …
A Cooperative game theory-based feature selection for efficient hand grasp classification using minimal number of sEMG signals
SK singh, A Chaturvedi - ACM Transactions on Computing for Healthcare, 2024 - dl.acm.org
Deploying bio-electrical signals and image processing (visual) techniques are the two
popular means to provide input to generate grasp control for robotic and prosthetic devices …
popular means to provide input to generate grasp control for robotic and prosthetic devices …
From Simulation to Reality: Predicting Torque with Fatigue Onset via Transfer Learning
KM Kearney, TO Diaz, JB Harley… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Muscle fatigue impacts upper extremity function but is often overlooked in biomechanical
models. The present work leveraged a transfer learning approach to improve torque …
models. The present work leveraged a transfer learning approach to improve torque …