An Explainable Artificial Intelligence Approach for Force Estimation from Surface-EMG sing the Element Description Method-Reference-Cited by-同舟云学术

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An Explainable Artificial Intelligence Approach for Force Estimation from Surface-EMG sing the Element Description Method

Published:2023-06-19 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 32nd International Symposium on Industrial Electronics (ISIE)
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Author:

Sodenaga Daiki¹,Takeuchi Issei²,Silva Daswin De³,Katsura Seiichiro¹

Affiliation:

1. Keio University,Department of System Design Engineering,Yokohama,Japan

2. Abstech Co., Ltd.,Saitama,Japan

3. La Trobe University,Research Centre for Data Analytics and Cognition,Melboulne,Australia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10227852/10227910/10228049.pdf?arnumber=10228049

Reference33 articles.

1. Finger Angle Estimation From Array EMG System Using Linear Regression Model With Independent Component Analysis

2. A new, human-centered wheelchair system controlled by the EMG signal

3. Estimation of EMG-Based Force Using a Neural-Network-Based Approach

4. A Myokinetic Arm Model for Estimating Joint Torque and Stiffness From EMG Signals During Maintained Posture

5. Performance Improvement of Element Description Method Using Artificial Bee Colony Algorithm

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. Identification of Contact and Non-Contact Finger Motion using Surface Electromyography(sEMG): An Explainable AI Approach;2024 16th International Conference on Human System Interaction (HSI);2024-07-08

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