Developing a Fuzzy C-Means Inference System for Muscle Strength Prediction Using sEMG-Reference-Cited by-同舟云学术

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Developing a Fuzzy C-Means Inference System for Muscle Strength Prediction Using sEMG

Published:2023-10-10 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 12th Global Conference on Consumer Electronics (GCCE)
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Author:

Lin Yimo¹,Tan Poh Thong¹,Lin Yang-Cheng¹,Yang Tai-Hua²,Lien Wei-Chih³,Yang Yi-Ching⁴

Affiliation:

1. National Cheng Kung University,Department of Industrial Design,Tainan,Taiwan

2. National Cheng Kung University,Department of Biomedical Engineering,Tainan,Taiwan

3. National Cheng Kung University Hospital,Department of Physical Medicine Rehabilitation,Tainan,Taiwan

4. National Cheng Kung University Hospital,Department of Family Medicine,Tainan,Taiwan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10315246/10315146/10315627.pdf?arnumber=10315627

Reference20 articles.

1. MuscleSense

2. Neural network models for transforming consumer perception into product form design;yeh;Lecture Notes in Computer Science (LNCS),2006

3. Automated Workers’ Ergonomic Risk Assessment in Manual Material Handling Using sEMG Wearable Sensors and Machine Learning

4. Evaluation of goodness-of-fit indices for structural equation models.

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