Improving the Robustness and Adaptability of sEMG-Based Pattern Recognition Using Deep Domain Adaptation
Author:
Affiliation:
1. Institute of Rehabilitation Engineering and Technology, University of Shanghai for Science and Technology, Shanghai, China
Funder
National Key R&D Program of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics
Link
http://xplorestaging.ieee.org/ielx7/6221020/9945616/09854078.pdf?arnumber=9854078
Reference50 articles.
1. Advances and Disturbances in sEMG-Based Intentions and Movements Recognition: A Review
2. Deep Cross-User Models Reduce the Training Burden in Myoelectric Control
3. Unsupervised Domain Adversarial Self-Calibration for Electromyography-Based Gesture Recognition
4. Self-Recalibrating Surface EMG Pattern Recognition for Neuroprosthesis Control Based on Convolutional Neural Network
5. Surface EMG-Based Inter-Session Gesture Recognition Enhanced by Deep Domain Adaptation
Cited by 19 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. Temporal Dynamics and Physical Priori Multimodal Network for Rehabilitation Physical Training Evaluation;IEEE Journal of Biomedical and Health Informatics;2024-09
2. Wearable high-density EMG sleeve for complex hand gesture classification and continuous joint angle estimation;Scientific Reports;2024-08-09
3. From Unstable Electrode Contacts to Reliable Control: A Deep Learning Approach for HD-sEMG in Neurorobotics;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13
4. A Deep Learning Sequential Decoder for Transient High-Density Electromyography in Hand Gesture Recognition Using Subject-Embedded Transfer Learning;IEEE Sensors Journal;2024-05-01
5. Enhancing Robustness of Surface Electromyography Pattern Recognition at Different Arm Positions for Transhumeral Amputees Using Deep Adversarial Inception Domain Adaptation;Applied Sciences;2024-04-18
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3