sEMG-Based Gesture Recognition With Embedded Virtual Hand Poses and Adversarial Learning

sEMG-Based Gesture Recognition With Embedded Virtual Hand Poses and Adversarial Learning

To improve the accuracy of surface electromyography (sEMG)-based gesture recognition, we present a novel hybrid approach that combines real sEMG signals with corresponding virtual hand poses. The virtual hand poses are generated by means of a proposed cross-modal association model constructed based...

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Bibliographic Details
Main Authors: Yu Hu, Yongkang Wong, Qingfeng Dai, Mohan Kankanhalli, Weidong Geng, Xiangdong Li
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Hand gesture recognition
surface electromyography (sEMG)
myoelectric control
generative adversarial learning
virtual hand pose
Online Access:https://ieeexplore.ieee.org/document/8766972/

Internet

https://ieeexplore.ieee.org/document/8766972/

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