Multimodal Fusion of EEG and EMG Signals Using Self-Attention Multi-Temporal Convolutional Neural Networks for Enhanced Hand Gesture Recognition in Rehabilitation
Author:
Affiliation:
1. University of Agder,Dept. of Engineering Sciences,Grimstad,Norway
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10622105/10622106/10622144.pdf?arnumber=10622144
Reference14 articles.
1. Advanced Energy Kernel-Based Feature Extraction Scheme for Improved EMG-PR-Based Prosthesis Control Against Force Variation
2. NeuroGrasp: Real-Time EEG Classification of High-Level Motor Imagery Tasks Using a Dual-Stage Deep Learning Framework
3. Leveraging Tactile Sensors for Low Latency Embedded Smart Hands for Prosthetic and Robotic Applications
4. Reliable Vision-Based Grasping Target Recognition for Upper Limb Prostheses
5. Ultrasound-Based 3-D Gesture Recognition: Signal Optimization, Trajectory, and Feature Classification
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