Identifying fatigue of climbing workers using physiological data based on the XGBoost algorithm
This study provides a basis for personalized management of fatigue in climbing operations, enabling timely detection of their fatigue states and implementation of corresponding measures to minimize the likelihood of accidents.
Authors
- Mingkai Xu
- Yonggang Xu (ORCID: https://orcid.org/0000-0003-3537-3715)
- Mingjun Wang (ORCID: https://orcid.org/0000-0003-0829-0359)
- Zichao Gong (ORCID: https://orcid.org/0009-0008-8449-2546)
- Wei Hou
- Kai Cui
- Kunshuang Zhu
- Q. Jian (ORCID: https://orcid.org/0009-0006-1074-0645)
Institutions
- Shanghai Electric (China) (CN)
- Xi’an University of Posts and Telecommunications (CN)
Publication Details
- Journal
- Frontiers in Public Health
- Published
- 2024-10-09
- DOI
- https://doi.org/10.3389/fpubh.2024.1462675
- Citations
- 2
- Primary Topic
- Musculoskeletal pain and rehabilitation
- Type
- article
- Field-Weighted Citation Impact
- 0.90