Identification of potential improvement assembly movements using worker classification by motion capture and machine learning-Reference-Cited by-同舟云学术

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Identification of potential improvement assembly movements using worker classification by motion capture and machine learning

Published:2023-11-11 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 13th International Workshop on Computational Intelligence and Applications (IWCIA)
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Author:

Kawane Ryuto¹,Ijuin Hiromasa²,Karube Koki¹,Sugi Masao³,Nakada Tomohiro⁴,Yamada Tetsuo¹

Affiliation:

1. University of Electro-Communications,Department of Informatics,Tokyo,Japan

2. Tokyo University of Science,Department of Industrial and Systems Engineering,Chiba,Japan

3. Engineering University of Electro-Communications,Department of Mechanical and Intelligent Systems,Tokyo,Japan

4. Bunkyo Gakuin University,Department of English Communication,Tokyo,Japan

Funder

Japan Society for the Promotion of Science

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10335695/10335778/10335866.pdf?arnumber=10335866

Reference19 articles.

1. The Editorial Committee of Industrial Engineering Dictionary, IE Dictionary;Nikkan Kogyo Shimbun,1973

2. Motion Analysis of Lathe Machining Work Using a Digital Position Display Device

3. Introduction to Artificial Intelligence

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