EMG-FRNet: A feature reconstruction network for EMG irrelevant gesture recognition
Author:
Affiliation:
1. Faculty of Imformation Technology, Beijing University of Technology, Beijing, China.
2. College of Art and Design, Beijing University of Technology, Beijing, China.
Publisher
International Research and Cooperation Association for Bio & Socio-Sciences Advancement (IRCA-BSSA)
Subject
General Biochemistry, Genetics and Molecular Biology,General Medicine,Health (social science)
Link
https://www.jstage.jst.go.jp/article/bst/17/3/17_2023.01116/_pdf
Reference34 articles.
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2. 2. Zhang Z, He C, Yang K. A Novel Surface Electromyographic Signal-Based Hand Gesture Prediction Using a Recurrent Neural Network. Sensors (Basel). 2020; 20:3994.
3. 3. Xu Z, Tian Y, Li Y. sEMG Pattern Recognition of Muscle Force of Upper Arm for Intelligent Bionic Limb Control. J Bionic Eng. 2015; 12, 316–323.
4. 4. Cases C, Baldovino R, Manguerra M, Dupo V. An EMG-based Gesture Recognition for Active-assistive Rehabilitation. 2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM). DOI: 10.1109/HNICEM51456.2020.9400132
5. 5. Yang X, Chen X, Cao X, Wei S, Zhang X. Chinese Sign Language Recognition Based on an Optimized Tree-Structure Framework. IEEE J Biomed Health Inform. 2017; 21:994-1004.
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1. Mapping Method of Human Arm Motion Based on Surface Electromyography Signals;Sensors;2024-04-29
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