Identification of potential improvement assembly movements using worker classification by motion capture and machine learning - researchr publication authors

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Ryuto Kawane, Hiromasa Ijuin, Koki Karube, Masao Sugi, Tomohiro Nakada, Tetsuo Yamada. Identification of potential improvement assembly movements using worker classification by motion capture and machine learning. In 13th IEEE International Workshop on Computational Intelligence and Applications, IWCIA 2023, Hiroshima, Japan, November 11-12, 2023. pages 79-84, IEEE, 2023. [doi]

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