Paper ID: 9441

An Analysis of EEG Changes during Prolonged Simulated Driving for the Assessment of Driver’s Fatigue

Rida Zuraida*, Hardianto Iridiastadi, Iftikar Z. Sutalaksana, & Suprijanto

Faculty of Industrial Technology, Institut Teknologi Bandung, Jalan Ganesha 10, Bandung 40132, Indonesia

 *Email: rida.zuraida@gmail.com;

 

Abstract

Fatigue during driving tasks is the main contributing factor to road accidents, and is influenced by time on task (TOT) and time of day (TOD). Recent electroencephalogram (EEG) research on fatigue assessment showed a promising result in explaining the fatigue phenomenon. However, a different findings exist regarding the best EEG parameters related to fatigue. This study examined EEG changes according to the effect of TOT and TOD and determined best parameters to distinguish fatigue status. To generate driver’s fatigue, prolonged driving in the morning and at night in a simulator was conducted. The EEG signal was collected from 28 male participants at frontal and occipital areas. The EEG power (brainwave) was determined from the first and last 5 minutes of driving tasks and after a break of 30 minutes. The results of this study showed a general tendency for EEG power to change throughout the driving sessions; however, the changes related to fatigue were only found at night session, as confirmed by q power and the subjective fatigue measurement result. This study showed that TOT (as a factor that induces fatigue) was explained by q from the frontal area, whereas TOD was differentiated by a, q, q/b,  (q+a)/b  and (q+a)/(b+a).

Keywords: EEG; fatigue; sleepiness; simulated driving; time on task; time of day.

 

References

Zhang, G., Yau, K.K.W., Zhang, X. & Li, Y., Traffic Accidents involving Fatigue Driving and Their Extent of Causalities, Accident Analysis and Prevention, 87,pp. 34-42, 2016.

Tyagi, R., Shen, K., Shao, S. & Li, X., A Novel Auditory Working-Memory Vigilance Task for Mental Fatigue Assessment, Safety Science, 47, pp. 967-972, 2009.

Yanli, M.A., Lou, Y. & Wang, Y., Road Traffic Accidents Model and Its Application Based on Driver’s self-mistakes, Journal of Transportation System Engineering and Information Technology, 10(4), pp.101-105, 2010.

Williamson, A., Lombardi, D.A, Folkard, S., Stuts J., Courtney, T.K. & Connor, J.L., The Link between Fatigue and Safety, Accident Analysis and Prevention, 43, pp. 498-515, 2011.

Philips, R.O., A Review of Definitions of Fatigue – And a Step Towards a Whole Definition, Transportation Research Parf F, 29, pp. 48-56, 2015.

Shahid, A., Shen, J. & Shapiro, C., Measurement of Sleepiness and Fatigue, Journal of Psychosomatic Research, 69(1), pp. 81-89, 2010.

Kaida., K., Takahashi, M., Åkerstedt, T., Nakata, A., Otsuka, Y., Haratani, T. & Fukusawa, K., Validation of the Karolinska Sleepiness Scale Against Performance and EEG Variables, Clinical Neurophysiology, 117, pp. 1574-1581, 2006.

Pauly, L. & Shankar, D., Detection of Drowsiness based on HOG Features and SVM Classifiers, Proceedings of IEEE International Conference on Computer Graphics, Vision, and Information Security (CGVIS), 2015.

Binoosh, S.A., Mohan, G.M. & Bijulai, D., Assessment and Prediction of Industrial Workers’ Fatigue in an Overhead Assembly Job, South African Journal of Industrial Engineering, 28(1), pp. 164-175; 2017

Kim, E., Lovera, J., Schaben, L., Melara, J., Bourdetta, D. & Whitham, R., Novel Method for Measurement of Fatigue in Multiple Sclerosis: Real-time Digital Fatigue Score, Journal of Rehabilitation Research & Development, 47(5), pp. 477-484, 2010.

Ahsberg, E., Gamberale, F. & Gustafsson, K., Perceived Fatigue after Mental Work: an Experimental Evaluation of a Fatigue Inventory, Ergonomics, 43(2), pp. 252-268, 2000.

Dawson, D., Searle, A.K. & Paterson, J.L., Look Before You (s)leep : Evaluating the Use of Fatigue Detection within a Fatigue Risk Management System for the Road Transport Industry, Sleep Medicine Review, 18(2), pp. 1-12, 2014.

Kar, S., Bhagat, M. & Routray, A., EEG Signal Analysis for the Assessment and Quantification of Driver’s Fatigue, Transportation Research Part F, 13, pp. 297-306, 2010.

Jap, B.T., Lal, S. & Fischer, P., Comparing Combination of EEG Activity in Train Drivers during Monotonous Driving, Expert systems with Application, 38, pp. 990-1003, 2011.

Al-Shargie, F.M., Tang, T.B., Badrudin, N. & Kiguchi, M., Mental Stress Quantification using EEG Signals, International Conference for Innovation in Biomedical Engineering and Life Science, pp.15-19, 2105.

Kee, S., Tamrin, S.B.M. & Goh, Y., Driving Fatigue and Performance among Occupational Drivers in Simulated Prolonged Driving, Global Journal of Health Science, 2(1), pp.167-177, 2010.

Tanaka, M., Shigihara, Y., Funakura, M., Kanai, E. & Watanabe, Y, Fatigue-Associated Alterations of Cognitive Function and Electroencephalographic Power Densities, PLoS One, 7(4: e34774); pp.1-5, 2012

Ministry of Health Republic of Indonesia, The Balanced Nutrition Guidelines 2014, accessed from http://gizi.depkes.go.id/download/ pedoman%20gizi/pgs%20ok.pdf, 2014. (23 March 2018)

Maxwell, S.E. & Delaney, H.D., Designing Experiments and Analyzing Data a Model Comparison Perspective (2nd edition), Lawrence Erlbaum Associates, New Jersey, 2004.

Cardoso, M., Fulton, F., Callaghan, J.P., Johnson, M. & Albert, W., A pre/post Evaluation of Fatigue, Stress and Vigilance amongs Commercially Licensed Truck Drivers Performing a Prolonged Driving Task, International Journal of Occupational Safety and Ergonomics, pp. 1-11, 2018.

Falou, W.E,, Duchene, J., Grabisch, M., Hewson, D., Longoren, Y. & Lino, F., Evaluation of Driver Discomfort During Long-duration Car Driving, Applied Ergonomics, 34, pp. 249-255, 2003.

Almahasneh, H., Chooi, W., Kamel, N. & Malik, A.S., Deep in Thought while driving: an EEG Study on Drivers’ Cognitive Distraction, Transportation Research part F, 26, pp. 218-226, 2014.

Chai, R., Naik, G.R., Nguyen, T.N., Ling, S.H., Tran, Y., Craig, A. & Nguyen, H.T., Driver Fatigue Classification with Independent Component by Entropy Rate Bound Minimization Analysis in an EEG-based System, IEEE Journal Biomedical and Health Informatics, 21(3), pp. 715 – 724, 2017.

Schwilden, H., Concepts of EEG Processing: from Power Spectrum to Bispectrum, Fractals, Entropies and All That, Best Practice & Research Clinical Anesthesiology, 20(1), pp.31–48, 2006.

Trejo, L.J., Knuth, K., Prado, R., Rosipal, R., Kubitz, K., Kochavi, R., Matthews, B. & Zhang, Y., EEG-Based Estimation of Mental Fatigue: Convergent Evidence for a Three-State Model, Proceeding of the 3rd International Conference, 2007.

Boksem, M.A.S., Meijman, T.F., & Lorist M.M., Effects of Mental Fatigue on Attention: an ERP Study, Cognitive Brain Research, 25, pp. 107-116, 2005.

Otmani, S., Pebayle, T., Roge, J. & Muzet, A., Effect of Driving Duration and Partial Sleep Deprivation on Subsequent Alertness and Performance of Car Drivers, Physiology and Behavior, 84, pp. 715-724, 2005.

Eoh, H.J., Chung, M.K. & Kim, S.H., Electroencephalographic Study of Drowsiness in Simulated Driving with Sleep Deprivation, International Journal of Industrial. 35(4), pp. 307-320, 2005.

Craig, A., Train, Y., Wijesuriya, N. & Nguyen, H.T., Regional Brain Wave Activity Change Associated with Fatigue, Psychophysiology, 49(4), 574-82, 2012.

Ma, J., Gu, J., Jia, H., Yao, Z. & Chang, R., The Relationship between drivers’ Cognitive Fatigue and Speed Variability during Monotonous Daytime Driving, Frontiers in Psychology, 9, Article No.459, pp.1-9, 2018.

Puspasari. M.A., Iridiastadi, H., Sutalaksana, I.Z. & Sjafruddin, A., Effect of Driving Duration on EEG Fluctuations, International Journal of Technology, 6, pp. 1089-1096, 2017.

Radun, I. & Radun, J.E., Convicted of Fatigue Driving: Who, Why and How? Accident Analysis and Prevention, 1, pp. 869-87, 2009.



ISSN: 2338-5502