Improving Motion Intention Recognition for Trans-Radial Amputees Based on sEMG and Transfer Learning

Improving Motion Intention Recognition for Trans-Radial Amputees Based on sEMG and Transfer Learning

Hand motion intentions can be detected by analyzing the surface electromyographic (sEMG) signals obtained from the remaining forearm muscles of trans-radial amputees. This technology sheds new light on myoelectric prosthesis control; however, fewer signals from amputees can be collected in clinical...

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Bibliographic Details
Main Authors: Chuang Lin, Xinyue Niu, Jun Zhang, Xianping Fu
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Applied Sciences
Subjects:
sEMG
transfer learning
motion intention recognition
trans-radial amputation
Online Access:https://www.mdpi.com/2076-3417/13/19/11071

Internet

https://www.mdpi.com/2076-3417/13/19/11071

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