Control of Hand Prostheses using EMG based Pattern Recognition: A Review of Existing Classification Techniques and Future Implementation-Reference-Cited by-同舟云学术

Control of Hand Prostheses using EMG based Pattern Recognition: A Review of Existing Classification Techniques and Future Implementation

Published:2023-08-03 Issue: Volume: Page:
ISSN:
Container-title:2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA)
language:
Short-container-title:

Author:

G Emayavaramban.¹,T Santhosh Kumar.²,A Amudha.¹,M Siva Ramkumar.¹,T Selvaganapathi.¹,S.S Sivaraju.³

Affiliation:

1. Karpagam Academy of Higher Education,Department of Electrical and Electronics Engineering,Coimbatore,India

2. Karpagam Acadmey of Higher Education,Department of Electrical and Electronics Engineering,Coimbatore,India

3. RVS College of Engineering and Technology,Department of Electrical and Electronics Engineering,Coimbatore,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10220576/10220579/10220686.pdf?arnumber=10220686

Reference36 articles.

1. Comparison of AR parametric methods with subspace-based methods for EMG signal classification using stand-alone and merged neural network models

2. Recognition of faulty node detection using fuzzy logic in iot;kumar;International Journal of Scientific and Technology Research,2019

3. Modelling and Control of a Robotic Arm Using Artificial Neural Network

4. Feature extraction of forearm EMG signals for prosthetics

5. A Real-Time Pattern Recognition for Multifunction Myoelectric Hand Control;chu;IEEE/RSJ International Conference on Intelligent Robots and Systems,0

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A geometric algebra-based approach for myoelectric pattern recognition control and faster prosthesis recalibration;Expert Systems with Applications;2024-11