Robust Long-Term Hand Grasp Recognition With Raw Electromyographic Signals Using Multidimensional Uncertainty-Aware Models

Robust Long-Term Hand Grasp Recognition With Raw Electromyographic Signals Using Multidimensional Uncertainty-Aware Models

Hand grasp recognition with surface electromyography (sEMG) has been used as a possible natural strategy to control hand prosthetics. However, effectively performing activities of daily living for users relies significantly on the long-term robustness of such recognition, which is still a challengin...

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Bibliographic Details
Main Authors: Yuzhou Lin, Ramaswamy Palaniappan, Philippe De Wilde, Ling Li
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Hand gesture recognition
surface electromyography (sEMG)
convolutional neural network
temporal variability
robustness
uncertainty
Online Access:https://ieeexplore.ieee.org/document/10017274/

Internet

https://ieeexplore.ieee.org/document/10017274/

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