Gesture recognition from bio-signals using hybrid deep neural networks

Surface electromyogram (sEMG) provides a promising means to develop a non-invasive prosthesis control system. In the context of transradial amputees, it allows a limited but functionally useful return of hand function that can significantly improve patients’ quality of life. In order to predict user...

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Bibliographic Details

Main Authors:	Baao Xie, James Meng, Baihua Li, Andy Harland
Format:	Default Conference proceeding
Published:	2020
Subjects:	signal processing surface electromyogram gated recurrent unit attention mechanism deep learning gesture and movement recognition myoelectric control
Online Access:	https://hdl.handle.net/2134/12964829.v1
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