Importance of Testing with Independent Subjects and Contexts for Machine-Learning Models to Monitor Construction Workers’ Psychophysiological Responses-Reference-Cited by-同舟云学术

Importance of Testing with Independent Subjects and Contexts for Machine-Learning Models to Monitor Construction Workers’ Psychophysiological Responses

Published:2022-09 Issue:9 Volume:148 Page:
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Lee Gaang¹,Lee SangHyun²

Affiliation:

1. Ph.D. Candidate, Tishman Construction Management Program, Dept. of Civil and Environmental Engineering, Univ. of Michigan, 2350 Hayward St., G.G. Brown Bldg., Ann Arbor, MI 48109.

2. Professor, Tishman Construction Management Program, Dept. of Civil and Environmental Engineering, Univ. of Michigan, 2350 Hayward St., G.G. Brown Bldg., Ann Arbor, MI 48109 (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

Strategy and Management,Industrial relations,Building and Construction,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CO.1943-7862.0002341

Reference78 articles.

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3. Anusha A. S. J. Joy S. P. Preejith J. Joseph and M. Sivaprakasam. 2017. “Differential effects of physical and psychological stressors on electrodermal activity.” In Proc. 2017 39th Annual Int. Conf. of the IEEE Engineering in Medicine and Biology Society (EMBC) 4549–4552. New York: IEEE.

4. Monitoring fatigue in construction workers using physiological measurements

5. Task clustering and gating for bayesian multitask learning;Bakker B.;J. Mach. Learn. Res.,2003

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