Definition of Manufacturing Worker Musculoskeletal Dataset and Training and Validation of Dite-HRnet

Young-Jin Kang (), Tae Kyoung Roh () and Seok Chan Jeong ()
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Young-Jin Kang: Dong-Eui University
Tae Kyoung Roh: Dong-Eui University
Seok Chan Jeong: Dong-Eui University

A chapter in XR and Metaverse, 2024, pp 210-215 from Springer

Abstract: Abstract Manufacturing businesses must conduct surveys every three years based on the guidelines for investigating harmful factors of musculoskeletal work. They have experienced many difficulties in carrying out. Therefore, there is a need for a platform for deep learning-based worker posture modelling and learning to support ergonomic musculoskeletal risk factor analysis and assessment. In this paper, Artificial Intelligence learning data for ergonomic evaluation was constructed and verified through an artificial intelligence model to solve this problem.

Keywords: Pose estimation; Deep-learning; Ergonomic; Key-point (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-031-50559-1_16

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DOI: 10.1007/978-3-031-50559-1_16

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