ATTENTION TEMPORAL CONVOLUTIONAL NETWORK WITH WEIGHT SHARING FOR MOTOR IMAGERY SIGNAL CLASSIFICATION

Brain–computer interfaces (BCIs) offer a non-muscular communication pathway by enabling users to interact with external devices through brain signals alone. A widely adopted BCI paradigm is based on motor imagery (MI), where individuals imagine specif

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Publication Details

Published
2025-08-25
DOI
https://doi.org/10.36227/techrxiv.175322711.16420175/v2
Primary Topic
Hand Gesture Recognition Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

ATTENTION TEMPORAL CONVOLUTIONAL NETWORK WITH WEIGHT SHARING FOR MOTOR IMAGERY SIGNAL CLASSIFICATION

Zhu Liang Yu, Zefeng Xu
Hand Gesture Recognition Systems
article

ATTENTION TEMPORAL CONVOLUTIONAL NETWORK WITH WEIGHT SHARING FOR MOTOR IMAGERY SIGNAL CLASSIFICATION

Zhu Liang Yu, Zefeng Xu
article en

Abstract

Brain–computer interfaces (BCIs) offer a non-muscular communication pathway by enabling users to interact with external devices through brain signals alone. A widely adopted BCI paradigm is based on motor imagery (MI), where individuals imagine specif

Openalex Percentile: Top 78%
Hand Gesture Recognition Systems
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ATTENTION TEMPORAL CONVOLUTIONAL NETWORK WITH WEIGHT SHARING FOR MOTOR IMAGERY SIGNAL CLASSIFICATION — Zhu Liang Yu, Zefeng Xu · (2025) | TGRS Research Map | TGRS