American Journal of Mechanical Engineering
ISSN (Print): 2328-4102 ISSN (Online): 2328-4110 Website: Editor-in-chief: Kambiz Ebrahimi, Dr. SRINIVASA VENKATESHAPPA CHIKKOL
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American Journal of Mechanical Engineering. 2017, 5(1), 18-23
DOI: 10.12691/ajme-5-1-4
Open AccessArticle

Driver Attention Based on Eye-movement and Time-series Analysis - Concept of Driver State Detection Devices

Toshiya Arakawa1,

1Department of Mechanical Systems Engineering, Aichi University of Technology, Gamagori, Aichi, Japan

Pub. Date: January 14, 2017

Cite this paper:
Toshiya Arakawa. Driver Attention Based on Eye-movement and Time-series Analysis - Concept of Driver State Detection Devices. American Journal of Mechanical Engineering. 2017; 5(1):18-23. doi: 10.12691/ajme-5-1-4


In this study, the transition of drivers’ states of attention from “excessive attention state” to “unfocused attention state” because of increasing time, existence of a leading vehicle, adaptability to driving conditions in different areas, such as urban or suburban environments, and decreasing tension was examined from the viewpoint of the drivers’ eye movements. The variability of the driver’s eye gazing was observed to gradually increase when a leading vehicle was present, i.e., the driver's process resource was concentrated on the leading vehicle at the beginning of the driving but on both leading vehicle and surrounding conditions before the end of driving. In addition, it was found that the difference between the unfocused attention state and excessive attention state was shown by the change in eye movement, depending on whether drivers were driving in urban or suburban areas. This shows that the driving conditions induced changes in the distribution of process resource.

driver attention state eye gazing eye movement driving condition process resource

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[1]  Cabinet Office, Government of Japan. White Paper on Traffic Safety in Japan 2015, Available from Internet: (accessed on 24 September, 2016).
[2]  Yee, P.L., Hunt, E. and Pellegrino, J.W., “Coordinating cognitive information: task effects and individual differences in integrating information from several sources,” Cognitive Psychology, 23(4). 615-680. 1991.
[3]  Miller, J.C. “Batch processing of 10,000h of truck driver EEG data,” Biological Psychology, 40. 1-2. 1995.
[4]  Desmond, P.A. and Matthews, G. “Implications of task-induced fatigue effects for invehicle countermeasures to driver fatigue,” Accident Analysis and Prevention, 29(4). 515-523. 1997.
[5]  Kahneman, D. Attention and Effort, Prentice-Hall, 1973.
[6]  Wickens, C.D. Engineering Psychology and Human Performance, Psychology Press, 2012.
[7]  Ebisawa, Y., Minamitani, H. and Takase, M. “Relationship between Attention and Characteristics of Eye Tracking Movement – Estimation of Attention Level –,” Japanese Journal of Medical Electronics and Biological Engineering, 30(1). 22-31. 1992.
[8]  Arakawa, T., Matsuo, N. and Kinoshita, M. “A Trial Evaluation on Desultory Driver Situation by Gaze Analysis,” proceedings of JASE Annual Congress(Spring). 5-8. 2005.
[9]  Arakawa, T. and Matsuo, N. “The Time-series Fluctuation of Driver Attention -Estimation from the specification of Eye Movement-,“ proceedings of FISITA 2006. 1-10. 2006.
[10]  Arakawa, T., Matsuo, N. and Kinoshita, M. “Trial Evaluation on Driver’s Unfocused Attention using Gaze Analysis,” Review of Automotive Engineering, 27(2). 357-359. 2006.
[11]  Brown, D. “Driver Fatigue,” Human Factors: The Journal of the Human Factors and Ergonomics Society, 36. 298-314. 1994.
[12]  Alonso, F., Esteban, C., Useche, S.A. and López de Cózar, E. “Prevalence of Physical and Mental Fatigue Symptoms on Spanish Drivers and Its Incidence on Driving Safety,” Advances in Psychology and Neuroscience, 1(2). 10-18. 2016.
[13]  Sugie, R., Arakawa, T. and Kozuka, K. “Detection of Fatigue in Long-Distance Driving by Heart Rate Variability,” ICIC Express Letters, 10(7). 1553-1559, 2016.
[14]  Eriksson, M and Papanikolopoulos, N.P. “Driver fatigue: a vision-based approach to automatic diagnosis,” Transportation Research Part C: Emerging Technologies, 9. 399-413. 2001.
[15]  Takahashi, Y., Touda, N. and Sogawa, Y. “Development of ADA (Active Driving Assist) Ⅲ,” Subaru Technical Review, 31. 139-144. 2004.
[16]  Yamada, M. and Fukuda, T. “Difinition of Viewing Point and Application to Image Analysis,” The IEICE Transactions on Information and Systems, 69(9). 1335-1342. 1986.
[17]  Sakata, M. “One’s Eyes are Often More Eloquent than One’s Mouth: Study Cases on Eye Movement,” Kobe University Repository, 6(1). 103-116. 2006.
[18]  Arakawa, T., Kobayashi, M. and Matsuo, N. “Development of Aromatic Image Map and Evaluation of Aromatic Oil Based on Brain Wave,” Journal of Biosciences and Medicines, 3(5). 36-48. 2015.