Assessing Working Vulnerability of Construction Labor through EEG signal processing

Jiayu Chen, Zhenghang Lin

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

Many researches suggest the construction risks are highly associated with the job complexity. Recent developments in the area of neural science and psychology suggests many accidents caused by the lack of attention or attention distractions. Labors are vulnerable while they are focusing on complicated construction tasks, which consumes too much working memory. Therefore, assessing the level of working memory could help to determine the vulnerability of on-site construction labors. Through comparing multiple assessment metrics, this research aims at proposing a quantitative assessment approach to enable the assessment the concentration level and vulnerability of construction workers through analyzing Electroencephalography (EEG) signals.
Original languageEnglish
Title of host publicationProceedings of the 16th International Conference on Computing in Civil and Building Engineering
Pages1053-1059
Publication statusPublished - 6 Jul 2016
Event16th International Conference on Computing in Civil and Building Engineering - Osaka, Japan
Duration: 6 Jul 20168 Jul 2016
http://www.see.eng.osaka-u.ac.jp/seeit/icccbe2016/download/RevisedFinalProgram.pdf
http://www.see.eng.osaka-u.ac.jp/seeit/icccbe2016/
http://www.see.eng.osaka-u.ac.jp/seeit/icccbe2016/Proceedings/3%20Table_of_Contents_ICCCBE2016.pdf

Conference

Conference16th International Conference on Computing in Civil and Building Engineering
Abbreviated titleICCCBE2016
Country/TerritoryJapan
CityOsaka
Period6/07/168/07/16
Internet address

Fingerprint

Dive into the research topics of 'Assessing Working Vulnerability of Construction Labor through EEG signal processing'. Together they form a unique fingerprint.

Cite this