gesture recognition

a Novel Dual-Model Adaptive Continuous Learning Strategy for Wrist-sEMG Real-Time Gesture Recognition
a Novel Dual-Model Adaptive Continuous Learning Strategy for Wrist-sEMG Real-Time Gesture Recognition 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Surface electromyography (sEMG) is a promising technology for hand gesture recognition, yet faces challenges in user mobility and individual calibration. This paper introduces a novel dual-model adaptive continuous learning (DM-ACL)… read more

A Novel Multi-Feature Fusion Network With Spatial Partitioning Strategy and Cross-Attention for Armband-Based Gesture Recognition
A Novel Multi-Feature Fusion Network With Spatial Partitioning Strategy and Cross-Attention for Armband-Based Gesture Recognition 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
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… read more
Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning

Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning
Author(s)3: Ulysse Côté-Allard, Cheikh Latyr Fall, Alexandre Drouin, Alexandre Campeau-Lecours, Clément Gosselin, Kyrre Glette, François Laviolette, Benoit Gosselin
Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning 780 435 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

        In recent years, deep learning algorithms have become increasingly more prominent for their unparalleled ability to automatically learn discriminant features from large amounts of data. However, within the field…

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