Issue |
E3S Web of Conf.
Volume 479, 2024
International Seminar of Science and Applied Technology: Natural Resources Management for Environmental Sustainability (ISSAT 2023)
|
|
---|---|---|
Article Number | 07011 | |
Number of page(s) | 3 | |
Section | Sustainable Development | |
DOI | https://doi.org/10.1051/e3sconf/202447907011 | |
Published online | 18 January 2024 |
Precise sensors in detecting stress in workers in the industry: A review
1 Graduate Institute of Precision Manufacturing, National Chin-Yi University of Technology, Taichung, 411030, Taiwan
2 Ph.D. Program Prospective Technology of Electrical Engineering and Computer Science, National Chin-Yi University of Technology, Taichung, 411030, Taiwan
3 Vocational technology education, Yogyakarta State University, Yogyakarta, Indonesia
* Corresponding author: sLB111071@student.ncut.edu.tw
Stress in the work environment has an impact on worker welfare and industrial productivity. This paper reviews the use of precision sensors in detecting workers’ physiological responses to stress in industry. The focus is on sensors that measure heart rate, sweat rate, body temperature, muscle activity and sleep patterns. The wearable sensor is the main highlight. Despite implementation challenges, precision sensors offer the potential for real-time monitoring to create healthier and more productive work environments.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.