Assessing Working Vulnerability of Construction Labor through EEG signal processing

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with host publication) › peer-review

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Detail(s)

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

Conference

Title16th International Conference on Computing in Civil and Building Engineering
PlaceJapan
CityOsaka
Period6 - 8 July 2016

Link(s)

Check@CityULib
Permanent Link https://scholars.cityu.edu.hk/en/publications/publication(4f65d538-113e-40fa-99a7-c51440193424).html

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.

Citation Format(s)

[ RIS ] [ BibTeX ]
Assessing Working Vulnerability of Construction Labor through EEG signal processing. / Chen, Jiayu; Lin, Zhenghang.
Proceedings of the 16th International Conference on Computing in Civil and Building Engineering. 2016. p. 1053-1059.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with host publication) › peer-review