Title: Incident Detection at Construction Sites via Heart-Rate and EMG Signal of Facial Muscle
Abstract:Incident Detection at Construction Sites via Heart-Rate and EMG Signal of Facial Muscle Mizuki Sugimoto, Shunsuke Hamasaki, Ryosuke Yajima, Hiroshi Yamakawa, Kaoru Takakusaki, Keiji Nagatani, Atsushi ...Incident Detection at Construction Sites via Heart-Rate and EMG Signal of Facial Muscle Mizuki Sugimoto, Shunsuke Hamasaki, Ryosuke Yajima, Hiroshi Yamakawa, Kaoru Takakusaki, Keiji Nagatani, Atsushi Yamashita and Hajime Asama Pages 886-891 (2020 Proceedings of the 37th ISARC, Kitakyushu, Japan, ISBN 978-952-94-3634-7, ISSN 2413-5844) Abstract: Fatal accidents occur at construction sites. Incidents in- volving dangerous situations but not reaching the category of fatal accidents also take place. When an incident occurs, workers typically generate an on-site physiological reaction. In this paper, an automatic detection system is proposed to automatically identify incidents by measuring biological sig- nals related to emotions of on-site workers, such as heart rate and the masseter muscle. In the first stage of this study, some virtual reality (VR) video-based experiments were conducted with some wearable sensors to confirm whether the afore- mentioned biological signals are suitable to detect incidents. While watching the VR videos, biological signals of the sub- jects were measured using different wearable sensors. The experimental results corroborated that the proposed sensing method is suitable to detect construction-site incidents. Keywords: Construction site; Safety; Biological signals; Incident detection DOI: https://doi.org/10.22260/ISARC2020/0122 Download fulltext Download BibTex Download Endnote (RIS) TeX Import to MendeleyRead More
Publication Year: 2020
Publication Date: 2020-10-14
Language: en
Type: article
Indexed In: ['crossref']
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Cited By Count: 1
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