Generalizing Upper Limb Force Modeling With Transfer Learning: A Multimodal Approach Using EMG and IMU for New Users and Conditions-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Generalizing Upper Limb Force Modeling With Transfer Learning: A Multimodal Approach Using EMG and IMU for New Users and Conditions

Published:2024 Issue: Volume:32 Page:391-400
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Hajian Gelareh¹^ORCID,Campbell Evan²^ORCID,Ansari Mahdi³,Morin Evelyn⁴^ORCID,Etemad Ali⁴^ORCID,Englehart Kevin²^ORCID,Scheme Erik²

Affiliation:

1. Toronto Rehabilitation Institute (KITE), University of Toronto, Toronto, Canada

2. Institute of Biomedical Engineering, University of New Brunswick, Fredericton, Canada

3. Microsoft, One Microsoft Way, Redmond, WA, USA

4. Department of Electrical and Computer Engineering, Queen’s University, Kingston, Canada

Funder

Natural Sciences and Engineering Research Council of Canada (NSERC) under Discovery

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7333/10398877/10385058.pdf?arnumber=10385058

Reference29 articles.

1. Relation of human electromyogram to muscular tension

2. Methodological aspects of SEMG recordings for force estimation – A tutorial and review

3. Muscle force estimation with surface EMG during dynamic muscle contractions: A wavelet and ANN based approach

4. Automated Channel Selection in High-Density sEMG for Improved Force Estimation

5. Comparison of Constant-Posture Force-Varying EMG-Force Dynamic Models About the Elbow

Cited by 2 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. A survey on hand gesture recognition based on surface electromyography: Fundamentals, methods, applications, challenges and future trends;Applied Soft Computing;2024-11

2. An early force prediction control scheme using multimodal sensing of electromyography and digit force signals;Heliyon;2024-04

同舟云学术

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