sEMG-Based Hand Posture Recognition and Visual Feedback Training for the Forearm Amputee

sEMG-Based Hand Posture Recognition and Visual Feedback Training for the Forearm Amputee

sEMG-based gesture recognition is useful for human–computer interactions, especially for technology supporting rehabilitation training and the control of electric prostheses. However, high variability in the sEMG signals of untrained users degrades the performance of gesture recognition algorithms....

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Bibliographic Details
Main Authors: Jongman Kim, Sumin Yang, Bummo Koo, Seunghee Lee, Sehoon Park, Seunggi Kim, Kang Hee Cho, Youngho Kim
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Sensors
Subjects:
surface electromyography
forearm amputee
hand posture
visual feedback training
pattern recognition
artificial neural network
Online Access:https://www.mdpi.com/1424-8220/22/20/7984

Internet

https://www.mdpi.com/1424-8220/22/20/7984

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