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Paper: lc3-2017-030
| Paper title: | Assessing Construction Workers' Vigilance Level Through Wearable Electroencephalography System |
| Authors: | Jiayu Chen, Fei Dai and Zejun Chen |
| Summary: | Construction industry requires constant caution on construction labors when they expose to hazardous environments. Although received fundamental safety training, construction workers tend to insensitive to hazards because of their long time exposures to risks. Many construction workers take unsafe behavior when they wrongly estimated the potential risks. Therefore, the discrepancy between the environment risks and workers' perceived risks is the major cause of unsafe behaviors. However, current assessing approaches are subjective and post-hoc. In this paper, we proposed a wearable Electroencephalography (EEG) system to quantitatively and objectively assess the construction workersÕ vigilance level for perceived risks. With such data acquisition approach, the construction workers' risk perception can be further understood and guide the safety training programs in future. |
| Type: | highlight paper |
| Year of publication: | 2017 |
| Keywords: | Construction Safety, EEG, Vigilance, Wearable |
| Series: | jc3:2017 |
| Download paper: | /pdfs/LC3_2017_paper_030.pdf |
| Citation: | Jiayu Chen, Fei Dai and Zejun Chen (2017). Assessing Construction Workers' Vigilance Level Through Wearable Electroencephalography System. Lean and Computing in Construction Congress (LC3): Volume I Ð Proceedings of the Joint Conference on Computing in Construction (JC3), July 4-7, 2017, Heraklion, Greece, pp. 45-52, http://itc.scix.net/paper/lc3-2017-030 |
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