Abstract
When people are tired, their conscious activities are sluggish and slow brainwaves predominant in their brains. More specifically speaking, the health of a human body may be affected, and chances of accident may arise due to the lowering of ones’ alertness as a result of the reduction of activity in cerebral cortex. In this study, by means of a portable electroencephalograph machine and brain-computer interface, the brainwave of bus drivers were measured for their fatigue quality. The results indicated that through the empirical formula proposed, we were able to measure people’s fatigue state with a result comparable to sophisticated medical instrument.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Jiang, S.S., Siao, G.L., Wu, Z.W.: Based on EEG characteristics attention diagnosis and training system. National Taichung University of Science and Technolog, MIS (2013)
Chang, F.Y.: Fourier transformation on the brain machine interface cursor control. National University of Tainan, Department of Information and Learning Technology (2007)
NeuroSky Official Website. http://neurosky.com/zh-Hant/. Accessed 20 Dec 2015
Chi, M.L., Wang, H.S., Shen, H.: The study of architecture design about multi-player brain computer interface game system. National Taichung University of Education, Department of Digital Content and Technology (2010)
Jasper, H.H.: The ten-twenty electrode systems of the international federation. Electroencephalogr. Clin. Neurophysiol. 10, 371–375 (1958)
Lin, Y.J.: Assessing the effects of different text presentation type on attention, reading comprehension and cognitive load for mobile E-reading. National Chengchi University Graduate Institute of Library, Information and Archival Studies (2011)
TELDAP e-Newsletter. http://newsletter.teldap.tw/news/InsightReportContent.php?nid=6121&lid=706. Accessed 5 Jan 2016
Larue, G.S., Rakotonirainy, A., Anthony, N.P.: Predicting driver’s hypovigilance on monotonous roads literature review. In: 1st International Conference on Driver Distraction and Inattention, Gothenburg, Sweden (2010)
Xiaoli, F., Qianxiang, Z., Zhongqi, L., Fang, X.: Electroen cephalogram assessment of mental fatigue in visual search. Biomed. Mater. Eng. 26, S1455–S1463 (2015)
Neuro Sky Official Website. http://developer.neurosky.com/docs/doku.php?id=thinkgear_communications_protocol. Accessed 3 Jan 2016
Wikipedia. http://zh.wikipedia.org/zh-tw/%E7%AE%97%E6%B3%95. Accessed 3 Jan 2016
NeuroSky Official Website. http://www.neurosky.com.tw/products-markets/eeg-biosensors/algorithms/. Accessed 3 Jan 2016
Acknowledgments
This research was supported by the Ministry of Science and Technology, Taiwan, R.O.C., under contract number MOST 104-2221-E-324-012 and MOST103-2632-E-324-001-MY3.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Chen, CL., Liao, CY., Chen, RC., Tang, YW., Shih, TF. (2017). Bus Drivers Fatigue Measurement Based on Monopolar EEG. In: Nguyen, N., Tojo, S., Nguyen, L., Trawiński, B. (eds) Intelligent Information and Database Systems. ACIIDS 2017. Lecture Notes in Computer Science(), vol 10192. Springer, Cham. https://doi.org/10.1007/978-3-319-54430-4_30
Download citation
DOI: https://doi.org/10.1007/978-3-319-54430-4_30
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-54429-8
Online ISBN: 978-3-319-54430-4
eBook Packages: Computer ScienceComputer Science (R0)