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

• Published in: IEEE access Vol. 7; pp. 104108 - 104120
• Main Authors: Hu, Yu, Wong, Yongkang, Dai, Qingfeng, Kankanhalli, Mohan, Geng, Weidong, Li, Xiangdong
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Assistive technology; Density; Electrodes; Feature extraction; generative adversarial learning; Gesture recognition; Hand gesture recognition; Learning; Machine learning; myoelectric control; surface electromyography (sEMG); User experience; virtual hand pose

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...