From Forearm to Wrist: Deep Learning for Surface Electromyography-Based Gesture Recognition

From Forearm to Wrist: Deep Learning for Surface Electromyography-Based Gesture Recognition

Though the forearm is the focus of the prostheses, myoelectric control with the electrodes on the wrist is more comfortable for general consumers because of its unobtrusiveness and incorporation with the existing wrist-based wearables. Recently, deep learning methods have gained attention for myoele...

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Bibliographic Details
Main Authors: Jiayuan He, Xinyue Niu, Penghui Zhao, Chuang Lin, Ning Jiang
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Myoelectric control
surface electromyography (sEMG)
gesture recognition
deep learning
Online Access:https://ieeexplore.ieee.org/document/10352354/

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