Towards Robot-Assisted Post-Stroke Hand Rehabilitation: Fugl-Meyer Gesture Recognition Using sEMG
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IEEE
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http://xplorestaging.ieee.org/ielx7/8424837/8446064/08446436.pdf?arnumber=8446436
Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Stretchable, Flexible, Breathable, Self-Adhesive Epidermal Hand sEMG Sensor System;Bioengineering;2024-02-01
2. Proposal of a Wearable Multimodal Sensing-Based Serious Games Approach for Hand Movement Training After Stroke;Frontiers in Physiology;2022-06-03
3. Emerging Wearable Interfaces and Algorithms for Hand Gesture Recognition: A Survey;IEEE Reviews in Biomedical Engineering;2022
4. A Convolutional Neural Network With Multi-scale Kernel and Feature Fusion for sEMG-based Gesture Recognition;2021 IEEE International Conference on Robotics and Biomimetics (ROBIO);2021-12-27
5. Control of Newly-Designed Wearable Robotic Hand Exoskeleton Based on Surface Electromyographic Signals;Frontiers in Neurorobotics;2021-09-15
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