Classification of Hand Movements via EMG using Machine Learning Methods for Prosthesis-Reference-Cited by-同舟云学术

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Classification of Hand Movements via EMG using Machine Learning Methods for Prosthesis

Published:2022-02-12 Issue: Volume: Page:
ISSN:
Container-title:2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP)
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Author:

Karuna M.¹,Guntur Sitaramanjaneya Reddy²

Affiliation:

1. Vignan’s Institute of Information Technology,Department of Electronics and Communication Engineering,India

2. Vignan’s Foundation for Science, Technology and Research,Department of Biomedical Engineering,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9760501/9760516/09760543.pdf?arnumber=9760543

Reference13 articles.

1. Feature reduction and selection for EMG signal classification

2. Building the Ninapro database: A resource for the biorobotics community

3. Ninapro Repository;atzori,2014

4. Electromyography data for non-invasive naturally-controlled robotic hand prostheses

5. Continuous Myoelectric Control for Powered Prostheses Using Hidden Markov Models

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. Machine Learning for Prosthesis Motion Intent Classification Using Multiple Non-invasive Sensing Modalities;2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM);2023-11-19

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