Continuous Gesture Recognition and Force Estimation Using sEMG Signal

The surface electromyography (sEMG) signals contain a large amount of physiological information reflecting the body’s motor intention. The use of sEMG signals for gesture recognition has received a lot of attention in both robotics and rehabilitation fields. Most of the current studies on ges...

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Bibliographic Details

Main Authors:	Xuhui Sun, Yinhua Liu, Hequn Niu
Format:	Artigo
Language:	Inglês
Published:	IEEE 2023-01-01
Series:	IEEE Access
Subjects:	Finger curvature continuous gesture recognition muscle force estimation multi-stream convolution neural network LSTM
Online Access:	https://ieeexplore.ieee.org/document/10274899/
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