Improving Health Monitoring of Construction Workers Using Physiological Data-Driven Techniques: An Ensemble Learning-Based Framework to Address Distributional Shifts-Reference-Cited by-同舟云学术

Improving Health Monitoring of Construction Workers Using Physiological Data-Driven Techniques: An Ensemble Learning-Based Framework to Address Distributional Shifts

Published:2024-01-25 Issue: Volume:17 Page:631-638
ISSN:
Container-title:Computing in Civil Engineering 2023
language:
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Author:

Ojha Amit¹²¹²³,Liu Yizhi¹²¹²³,Jebelli Houtan¹²¹²³,Cheng Hunayu¹²¹²³,Kiani Mehdi¹²¹²³

Affiliation:

1. Dept. of Civil and Environmental Engineering, Univ. of Illinois Urbana-Champaign, Champaign, IL.

2. Dept. of Architectural Engineering, Pennsylvania State Univ., University Park, PA.

3. School of Electrical Engineering and Computer Science, Pennsylvania State Univ., University Park, PA.

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784485248.076

Reference17 articles.

1. Monitoring fatigue in construction workers using physiological measurements

2. Wearable technology for personalized construction safety monitoring and trending: Review of applicable devices

3. Bureau of Labour. 2018. Employer-Reported Workplace Injuries and Illnesses.

4. Stable individual differences in physiological response to stressors: implications for stress-elicited changes in immune related health;Cohen S.;Brain Behav Immun,2003

5. Physiological and perceptual heat strain responses in Iranian Veiled women under laboratory thermal Conditions;Habibi P.;Iranian Journal of Health, Safety & Environment,2014

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