A Novel Multi-Feature Fusion Network With Spatial Partitioning Strategy and Cross-Attention for Armband-Based Gesture Recognition

Effectively integrating the time-space-frequency information of multi-modal signals from armband sensor, including surface electromyogram (sEMG) and accelerometer data, is critical for accurate gesture recognition. Existing approaches often neglect the abundant spatial relationships inherent in mult...

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Bibliographic Details

Published in:	IEEE Transactions on Neural Systems and Rehabilitation Engineering
Main Authors:	Fo Hu, Mengyuan Qian, Kailun He, Wen-An Zhang, Xusheng Yang
Format:	Article
Language:	English
Published:	IEEE 2024-01-01
Subjects:	Gesture recognition multi-feature fusion deep learning spatial partitioning strategy cross-attention
Online Access:	https://ieeexplore.ieee.org/document/10737142/