SVM based Classification Of sEMG Signals using Time Domain Features for the Applications towards Arm Exoskeletons

Author:

Amancherla Nagaswathi1,Turlapaty Anish1,Gokaraju Balakrishna2

Affiliation:

1. Indian Institute of Information Technology, Sri City, Chittoor, India

2. Dept. of CIST, University of West Alabama, Livingston, USA

Publisher

ACM

Reference33 articles.

1. Prosthetics, exoskeletons, and rehabilitation [Grand Challenges of Robotics]

2. A Nonstationary Model for the Electromyogram

3. Physiology and Mathematics of Myoelectric Signals

4. Hand Prosthesis Control Via Myoelectric Patterns

5. Joint Automatic Control Conference number 17 Joint Automatic Control Conference number 17 MH Sherif J Lyman R Gregor Statistical modeling of myoelectric signals 1980 143

Cited by 3 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 Wearable Ultrasound Interface for Prosthetic Hand Control;IEEE Journal of Biomedical and Health Informatics;2022-11

2. Intelligent Perception Recognition of Multi-modal EMG Signals Based on Machine Learning;2022 2nd International Conference on Bioinformatics and Intelligent Computing;2022-01-21

3. Classification of sEMG signals of hand gestures based on energy features;Biomedical Signal Processing and Control;2021-09

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