A Statistical Learning Approach for Cable-driven Robot in Rehabilitation Training-Reference-Cited by-同舟云学术

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A Statistical Learning Approach for Cable-driven Robot in Rehabilitation Training

Published:2022-07-09 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Advanced Robotics and Mechatronics (ICARM)
language:
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Author:

Zheng Jianlin¹,Xie Chenglin¹,Song Rong¹,Xu Ting²

Affiliation:

1. Sun Yat-sen University,Guangdong Provincial Engineering and Technology Center of Advanced and Portable Medical Devices,Guangzhou,P. R. China

2. Sun Yat-sen University,Key Laboratory of Sensing Technology and Biomedical Instrument of Guangdong Province, School of biomedical Engineering,Guangzhou,P. R. China

Funder

National Key Research and Development Program of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9959088/9959097/09959237.pdf?arnumber=9959237

Reference21 articles.

1. Hand Rehabilitation Learning System With an Exoskeleton Robotic Glove

2. A novel semg-based force estimation method using deep-learning algorithm;hua;Complex & Intelligent Systems,2021

3. Intra-Subject and Inter-Subject Movement Variability Quantified with Muscle Synergies in Upper-Limb Reaching Movements

4. Attribute-Driven Granular Model for EMG-Based Pinch and Fingertip Force Grand Recognition

5. Springer Handbook of Robotics

Cited by 1 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. Examining the Impact of Muscle-Electrode Distance in sEMG Based Hand Motion Recognition;Intelligent Robotics and Applications;2023

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