A Supervised Learning-Based Construction Workers’ Stress Recognition Using a Wearable Electroencephalography (EEG) Device-Reference-Cited by-同舟云学术

A Supervised Learning-Based Construction Workers’ Stress Recognition Using a Wearable Electroencephalography (EEG) Device

Published:2018-03-29 Issue: Volume: Page:
ISSN:
Container-title:Construction Research Congress 2018
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Author:

Jebelli Houtan¹²³⁴,Khalili Mohammad Mahdi¹²³⁴,Hwang Sungjoo¹²³⁴,Lee SangHyun¹²³⁴

Affiliation:

1. Ph.D. Candidate, Tishman Construction Management Program, Dept. of Civil and Environmental Engineering, Univ. of Michigan, 2350 Hayward St., Suite 1148 G.G. Brown Bldg., Ann Arbor, MI 48109.

2. Ph.D. Candidate, Dept. of Electrical Engineering and Computer Science, Univ. of Michigan, 1301 Beal Ave., Suite 4429 EECS Bldg., Ann Arbor, MI 48109.

3. Assistant Professor, Dept. of Architectural and Urban Systems Engineering, Ewha Womans Univ., 52 Ewhayeodae-Gil, Seodaemun-Gu, Seoul 03760, Korea.

4. Associate Professor, Tishman Construction Management Program, Dept. of Civil and Environmental Engineering, Univ. of Michigan, 2350 Hayward St., Suite 2340 G.G. Brown Bldg., Ann Arbor, MI 48109.

Publisher

American Society of Civil Engineers

Link

http://ascelibrary.org/doi/pdf/10.1061/9780784481288.005

Reference25 articles.

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2. Akhavian R. and Behzadan A. H. (2016). "Productivity Analysis of Construction Worker Activities Using Smartphone Sensors." Proc. 16th Int. Conf. Comput. Civil Building Eng.

3. Independent component analysis, A new concept?

4. Curtin S. C. Warner M. Hedegaard H. and others. (2016). Increase in suicide in the United States 1999-2014. US Department of Health and Human Services Centers for Disease Control and Prevention National Center for Health Statistics.

5. Multiclass support vector machines for EEGsignals classification;Guler I.;IEEE Transactions on Information Technology in Biomedicine,2007

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