Feasibility of Field Measurement of Construction Workers' Valence Using a Wearable EEG Device

Houtan Jebelli, Sungjoo Hwang, Sang Hyun Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Scopus citations

Abstract

Construction workers' valence, which is an important dimension of emotions by representing intrinsic attractiveness and aversiveness, significantly influences their awareness, attention, motivation, etc. Recently, a wearable electroencephalogram (EEG) device has opened a door to measure and understand construction workers' valence levels at the workplace. However, acquiring high quality EEG signals is very difficult at the field due to signal artefacts prevalent in construction sites. In this regard, a signal processing framework was previously developed by the authors to remove the most common artefacts recorded in the EEG signals. In this paper, we further demonstrate how construction workers' valence can be identified by applying this framework. Significant differences in the valence levels were captured while subjects were working in various real work conditions (e.g., working at ground level, top of the ladder, and in confined space). The results show the feasibility of using a wearable EEG device to monitor a worker's valence.

Original languageEnglish (US)
Title of host publicationComputing in Civil Engineering 2017
Subtitle of host publicationSensing, Simulation, and Visualization - Selected Papers from the ASCE International Workshop on Computing in Civil Engineering 2017
EditorsKen-Yu Lin, Nora El-Gohary, Pingbo Tang
PublisherAmerican Society of Civil Engineers (ASCE)
Pages99-106
Number of pages8
ISBN (Electronic)9780784480830
DOIs
StatePublished - Jan 1 2017
Event2017 ASCE International Workshop on Computing in Civil Engineering, IWCCE 2017 - Seattle, United States
Duration: Jun 25 2017Jun 27 2017

Publication series

NameCongress on Computing in Civil Engineering, Proceedings
Volume2017-June

Other

Other2017 ASCE International Workshop on Computing in Civil Engineering, IWCCE 2017
CountryUnited States
CitySeattle
Period6/25/176/27/17

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Computer Science Applications

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    Jebelli, H., Hwang, S., & Lee, S. H. (2017). Feasibility of Field Measurement of Construction Workers' Valence Using a Wearable EEG Device. In K-Y. Lin, N. El-Gohary, & P. Tang (Eds.), Computing in Civil Engineering 2017: Sensing, Simulation, and Visualization - Selected Papers from the ASCE International Workshop on Computing in Civil Engineering 2017 (pp. 99-106). (Congress on Computing in Civil Engineering, Proceedings; Vol. 2017-June). American Society of Civil Engineers (ASCE). https://doi.org/10.1061/9780784480830.013