Improving Hand Gesture Recognition Robustness to Dynamic Posture Variations by Multimodal Deep Feature Fusion

Improving Hand Gesture Recognition Robustness to Dynamic Posture Variations by Multimodal Deep Feature Fusion

Surface electromyography (sEMG), a human-machine interface for gesture recognition, has shown promising potential for decoding motor intentions, but a variety of nonideal factors restrict its practical application in assistive robots. In this paper, we summarized the current mainstream gesture recog...

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Bibliographic Details
Main Authors: Jiwei Li, Bi Zhang, Wanxin Chen, Chunguang Bu, Yiwen Zhao, Xingang Zhao
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Gesture recognition
human-robot interaction
multimodal feature fusion
posture variations
surface electromyography
Online Access:https://ieeexplore.ieee.org/document/10643564/

Internet

https://ieeexplore.ieee.org/document/10643564/

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