A Novel TCN-LSTM Hybrid Model for sEMG-Based Continuous Estimation of Wrist Joint Angles

Surface electromyography (sEMG) offers a novel method in human–machine interactions (HMIs) since it is a distinct physiological electrical signal that conceals human movement intention and muscle information. Unfortunately, the nonlinear and non-smooth features of sEMG signals often make joint angle...

Full description

Bibliographic Details

Published in:	Sensors
Main Authors:	Jiale Du, Zunyi Liu, Wenyuan Dong, Weifeng Zhang, Zhonghua Miao
Format:	Article
Language:	English
Published:	MDPI AG 2024-08-01
Subjects:	surface electromyography (sEMG) wrist kinematics estimation human–machine interaction (HMI) temporal convolution network (TCN) long short-term memory neural network (LSTM)
Online Access:	https://www.mdpi.com/1424-8220/24/17/5631