EMG-Based Hand Gestures Classification Using Machine Learning Algorithms
Author:
Affiliation:
1. the University of Tennessee at Chattanooga,College of Engineering and Computer Science,37403,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10115054/10114957/10115158.pdf?arnumber=10115158
Reference35 articles.
1. Real-time visual and EMG signals recognition to control dexterous prosthetic hand based on deep learning and machine learning
2. Formation lithology classification using scalable gradient boosted decision trees
3. Electromyogram-Based Classification of Hand and Finger Gestures Using Artificial Neural Networks
4. Interpretation of Machine Learning Model Using Medical Record Visual Analytics
5. 24 DOF EMG controlled hybrid actuated prosthetic hand
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