ViEMGT: A Novel Transformer Architecture for Enhanced Hand Gesture Recognition From HD-sEMG in Individuals With Traumatic Brain Injury

This paper introduces the Vision-EMG Transformer (ViEMGT), a novel deep learning architecture designed for hand gesture recognition using high-density surface electromyography (HD-sEMG) in individuals with traumatic brain injury (TBI). ViEMGT reformulates multichannel EMG signals into structured spa...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Saman Doostkam, Reza Boostani, Zohreh Azimifar
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	HD-sEMG hand gesture recognition vision transformer networks rehabilitation deep learning traumatic brain injury
Online Access:	https://ieeexplore.ieee.org/document/11184729/