Multi–Joint Angles Estimation of Forearm Motion Using a Regression Model

Multi–Joint Angles Estimation of Forearm Motion Using a Regression Model

To improve the life quality of forearm amputees, prosthetic hands with high accuracy, and robustness are necessary. The application of surface electromyography (sEMG) signals to control a prosthetic hand is challenging. In this study, we proposed a time-domain CNN model for the regression prediction...

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Bibliographic Details
Main Authors: Zixuan Qin, Sorawit Stapornchaisit, Zixun He, Natsue Yoshimura, Yasuharu Koike
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-08-01
Series:Frontiers in Neurorobotics
Subjects:
convolutional neural networks
geometry plot
regression model
surface electromyography
transfer learning
Online Access:https://www.frontiersin.org/articles/10.3389/fnbot.2021.685961/full

Internet

https://www.frontiersin.org/articles/10.3389/fnbot.2021.685961/full

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