Continuous Estimation of Human Joint Angles From sEMG Using a Multi-Feature Temporal Convolutional Attention-Based Network
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DOI: 10.1109/jbhi.2022.3198640
Abstract: Intention recognition based on surface electromyography (sEMG) signals is pivotal in human-machine interaction (HMI), where continuous motion estimation with high accuracy has been the challenge. The convolutional neural network (CNN) possesses excellent feature extraction capability.… read more here.
Keywords: convolutional attention; network; feature temporal; temporal convolutional ... See more keywords