Analysis of the effectiveness of machine learning methods in the problem of gesture recognition based on the data of electromyographic signals-Reference-Cited by-同舟云学术

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Analysis of the effectiveness of machine learning methods in the problem of gesture recognition based on the data of electromyographic signals

Published:2021-02 Issue:1 Volume:13 Page:175-194
ISSN:2076-7633
Container-title:Computer Research and Modeling
language:
Short-container-title:CRM

Author:

Kozyr Polina Sergeevna,Saveliev Anton Igorevich

Publisher

Izhevsk Institute of Computer Science

Subject

Computational Theory and Mathematics,Computer Science Applications,Modeling and Simulation

Cited by 2 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. Evaluating the Accuracy of kNN Classifier for Gesture Detection Based on Forearm EMG Signal;2024 6th International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE);2024-02-29

2. An Analysis Review : Real Measurement for Surface Electromyography (sEMG) Signal;2021 14th International Conference on Developments in eSystems Engineering (DeSE);2021-12-07

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