Implementation of a Real-Time Force Estimation System Based on sEMG Signals and Gaussian Process Regression: Human–Robot Interaction in Rehabilitation

Implementation of a Real-Time Force Estimation System Based on sEMG Signals and Gaussian Process Regression: Human–Robot Interaction in Rehabilitation

Human force estimation has numerous applications, including biomedical models, rehabilitation, biomechanical system control, and human-machine interfaces. To enable such applications, it is necessary and challenging to develop methods for efficiently estimating force. In this work, we propose a syst...

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Bibliographic Details
Main Authors: Thantip Sittiruk, Kiattisak Sengchuai, Apidet Booranawong, Pornchai Phukpattaranont
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
System implementation
electromyography
force estimation
regression analysis
patient rehabilitation
Online Access:https://ieeexplore.ieee.org/document/10843210/
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