Elements Influencing sEMG-Based Gesture Decoding: Muscle Fatigue, Forearm Angle and Acquisition Time

Elements Influencing sEMG-Based Gesture Decoding: Muscle Fatigue, Forearm Angle and Acquisition Time

The surface Electromyography (sEMG) signal contains information about movement intention generated by the human brain, and it is the most intuitive and common solution to control robots, orthotics, prosthetics and rehabilitation equipment. In recent years, gesture decoding based on sEMG signals has...

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Bibliographic Details
Main Authors: Zengyu Qing, Zongxing Lu, Yingjie Cai, Jing Wang
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Sensors
Subjects:
surface electromyography
machine learning
gesture decoding
muscle fatigue
forearm angle
acquisition time
Online Access:https://www.mdpi.com/1424-8220/21/22/7713

Internet

https://www.mdpi.com/1424-8220/21/22/7713

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