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2014 | OriginalPaper | Chapter

4. Research Aspects

Authors : Aleksandar Čolić, Oge Marques, Borko Furht

Published in: Driver Drowsiness Detection

Publisher: Springer International Publishing

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Abstract

This chapter presents an overview of the research aspects associated with the development of driver drowsiness detection solutions, particularly vehicle-mounted solutions that monitor the driver’s head and face for behavioral signs of potential drowsiness, such as nodding, yawning, or blinking. It summarizes relevant technologies, popular algorithms, and design challenges associated with such systems.

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Literature
1.
go back to reference T. Ahonen, A. Hadid, and M. Pietikäinen. Face recognition with local binary patterns. In ECCV (1), pages 469–481, 2004. T. Ahonen, A. Hadid, and M. Pietikäinen. Face recognition with local binary patterns. In ECCV (1), pages 469–481, 2004.
2.
go back to reference F. Bella. Driver perception of roadside configurations on two-lane rural roads: Effects on speed and lateral placement. Accident Analysis and Prevention, 50(0):251–262, 2013.CrossRef F. Bella. Driver perception of roadside configurations on two-lane rural roads: Effects on speed and lateral placement. Accident Analysis and Prevention, 50(0):251–262, 2013.CrossRef
3.
go back to reference L. Bergasa, J. Nuevo, M. Sotelo, R. Barea, and M. Lopez. Real-time system for monitoring driver vigilance. Intelligent Transportation Systems, IEEE Transactions on, 7(1):63–77, 2006.CrossRef L. Bergasa, J. Nuevo, M. Sotelo, R. Barea, and M. Lopez. Real-time system for monitoring driver vigilance. Intelligent Transportation Systems, IEEE Transactions on, 7(1):63–77, 2006.CrossRef
4.
go back to reference E. Cheng, B. Kong, R. Hu, and F. Zheng. Eye state detection in facial image based on linear prediction error of wavelet coefficients. In Robotics and Biomimetics, 2008. ROBIO 2008. IEEE International Conference on, pages 1388–1392, 2009. E. Cheng, B. Kong, R. Hu, and F. Zheng. Eye state detection in facial image based on linear prediction error of wavelet coefficients. In Robotics and Biomimetics, 2008. ROBIO 2008. IEEE International Conference on, pages 1388–1392, 2009.
5.
go back to reference D. Dawson, C. J. van den Heuvel, K. J. Reid, S. N. Biggs, and S. D. Baulk. Chasing the silver bullet: Measuring driver fatigue using simple and complex tasks. Accident analysis and prevention, 40(1):396–402, 2008.CrossRef D. Dawson, C. J. van den Heuvel, K. J. Reid, S. N. Biggs, and S. D. Baulk. Chasing the silver bullet: Measuring driver fatigue using simple and complex tasks. Accident analysis and prevention, 40(1):396–402, 2008.CrossRef
6.
go back to reference W. Dong and P. Qu. Eye state classification based on multi-feature fusion. In Control and Decision Conference, 2009. CCDC ’09. Chinese, pages 231–234, 2009. W. Dong and P. Qu. Eye state classification based on multi-feature fusion. In Control and Decision Conference, 2009. CCDC ’09. Chinese, pages 231–234, 2009.
7.
go back to reference M. J. Flores, J. M. Armingol, and A. de la Escalera. Real-time warning system for driver drowsiness detection using visual information. Journal of Intelligent and Robotic Systems, 59(2):103–125, 2010.CrossRef M. J. Flores, J. M. Armingol, and A. de la Escalera. Real-time warning system for driver drowsiness detection using visual information. Journal of Intelligent and Robotic Systems, 59(2):103–125, 2010.CrossRef
8.
go back to reference T. Hong, H. Qin, and Q. Sun. An improved real time eye state identification system in driver drowsiness detection. In Control and Automation, 2007. ICCA 2007. IEEE International Conference on, pages 1449–1453, 2007. T. Hong, H. Qin, and Q. Sun. An improved real time eye state identification system in driver drowsiness detection. In Control and Automation, 2007. ICCA 2007. IEEE International Conference on, pages 1449–1453, 2007.
9.
go back to reference C. Jiangwei, J. Lisheng, G. Lie, G. Keyou, and W. Rongben. Driver’s eye state detecting method design based on eye geometry feature. In Intelligent Vehicles Symposium, 2004 IEEE, pages 357–362, 2004. C. Jiangwei, J. Lisheng, G. Lie, G. Keyou, and W. Rongben. Driver’s eye state detecting method design based on eye geometry feature. In Intelligent Vehicles Symposium, 2004 IEEE, pages 357–362, 2004.
10.
go back to reference P. Konstantopoulos, P. Chapman, and D. Crundall. Driver’s visual attention as a function of driving experience and visibility. using a driving simulator to explore drivers’ eye movements in day, night and rain driving. Accident Analysis and Prevention, 42(3):827–834, 2010. P. Konstantopoulos, P. Chapman, and D. Crundall. Driver’s visual attention as a function of driving experience and visibility. using a driving simulator to explore drivers’ eye movements in day, night and rain driving. Accident Analysis and Prevention, 42(3):827–834, 2010.
11.
go back to reference A. Lenskiy and J.-S. Lee. Driver’s eye blinking detection using novel color and texture segmentation algorithms. International Journal of Control, Automation and Systems, 10(2):317–327, 2012.CrossRef A. Lenskiy and J.-S. Lee. Driver’s eye blinking detection using novel color and texture segmentation algorithms. International Journal of Control, Automation and Systems, 10(2):317–327, 2012.CrossRef
12.
go back to reference Z. Li and P. Milgram. An investigation of the potential to influence braking behaviour through manipulation of optical looming cues in a simulated driving task. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 49(17):1540–1544, 2005.CrossRef Z. Li and P. Milgram. An investigation of the potential to influence braking behaviour through manipulation of optical looming cues in a simulated driving task. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 49(17):1540–1544, 2005.CrossRef
13.
go back to reference C.-C. Lien and P.-R. Lin. Drowsiness recognition using the Least Correlated LBPH. In Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), 2012 Eighth International Conference on, pages 158–161, 2012. C.-C. Lien and P.-R. Lin. Drowsiness recognition using the Least Correlated LBPH. In Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), 2012 Eighth International Conference on, pages 158–161, 2012.
14.
go back to reference A. Liu, Z. Li, L. Wang, and Y. Zhao. A practical driver fatigue detection algorithm based on eye state. In Microelectronics and Electronics (PrimeAsia), 2010 Asia Pacific Conference on Postgraduate Research in, pages 235–238, 2010. A. Liu, Z. Li, L. Wang, and Y. Zhao. A practical driver fatigue detection algorithm based on eye state. In Microelectronics and Electronics (PrimeAsia), 2010 Asia Pacific Conference on Postgraduate Research in, pages 235–238, 2010.
15.
go back to reference D. Liu, P. Sun, Y. Xiao, and Y. Yin. Drowsiness detection based on eyelid movement. In Education Technology and Computer Science (ETCS), 2010 Second International Workshop on, volume 2, pages 49–52, 2010. D. Liu, P. Sun, Y. Xiao, and Y. Yin. Drowsiness detection based on eyelid movement. In Education Technology and Computer Science (ETCS), 2010 Second International Workshop on, volume 2, pages 49–52, 2010.
16.
go back to reference Z. Liu and H. Ai. Automatic eye state recognition and closed-eye photo correction. In Pattern Recognition, 2008. ICPR 2008. 19th International Conference on, pages 1–4, 2008. Z. Liu and H. Ai. Automatic eye state recognition and closed-eye photo correction. In Pattern Recognition, 2008. ICPR 2008. 19th International Conference on, pages 1–4, 2008.
17.
go back to reference W. Nic. Program develops new test track capability. The Sensor Newsletter, 2004. W. Nic. Program develops new test track capability. The Sensor Newsletter, 2004.
18.
go back to reference C. Qingzhang, W. Wenfu, and C. Yuqin. Research on eye-state based monitoring for drivers’ dozing. Intelligent Information Technology Applications, 2007 Workshop on, 1:373–376, 2009. C. Qingzhang, W. Wenfu, and C. Yuqin. Research on eye-state based monitoring for drivers’ dozing. Intelligent Information Technology Applications, 2007 Workshop on, 1:373–376, 2009.
19.
go back to reference F. Rosey, S.-M. Auberlet, O. Moisan, and G. Dupré. Impact of narrower lane width: Comparison between fixed-base simulator and real data. Transportation Research Record: Journal of the Transportation Research Board, 2138(1):112–119, 2009.CrossRef F. Rosey, S.-M. Auberlet, O. Moisan, and G. Dupré. Impact of narrower lane width: Comparison between fixed-base simulator and real data. Transportation Research Record: Journal of the Transportation Research Board, 2138(1):112–119, 2009.CrossRef
20.
go back to reference J. Telner. The Effects of Linguistic Fluency on Performance in a Simulated Cellular Telephone and Driving Situation. Canadian theses. York University (Canada), 2008. J. Telner. The Effects of Linguistic Fluency on Performance in a Simulated Cellular Telephone and Driving Situation. Canadian theses. York University (Canada), 2008.
21.
go back to reference J. A. Telner, D. L. Wiesenthal, and E. Bialystok. Video gamer advantages in a cellular telephone and driving task. Proceedings of the Human Factors and Ergonomic Society annual meeting, 53(23):1748–1752, 2009.CrossRef J. A. Telner, D. L. Wiesenthal, and E. Bialystok. Video gamer advantages in a cellular telephone and driving task. Proceedings of the Human Factors and Ergonomic Society annual meeting, 53(23):1748–1752, 2009.CrossRef
22.
go back to reference Y.-l. Tian, T. Kanade, and J. F. Cohn. Eye-state action unit detection by Gabor Wavelets. In Proceedings of the Third International Conference on Advances in Multimodal Interfaces, ICMI ’00, pages 143–150, London, UK, UK, 2000. Springer-Verlag. Y.-l. Tian, T. Kanade, and J. F. Cohn. Eye-state action unit detection by Gabor Wavelets. In Proceedings of the Third International Conference on Advances in Multimodal Interfaces, ICMI ’00, pages 143–150, London, UK, UK, 2000. Springer-Verlag.
23.
go back to reference Z. Tian and H. Qin. Real-time driver’s eye state detection. In Vehicular Electronics and Safety, 2005. IEEE International Conference on, pages 285–289, 2005. Z. Tian and H. Qin. Real-time driver’s eye state detection. In Vehicular Electronics and Safety, 2005. IEEE International Conference on, pages 285–289, 2005.
24.
go back to reference P. Viola and M. Jones. Robust real-time object detection. In International Journal of Computer Vision, 2001. P. Viola and M. Jones. Robust real-time object detection. In International Journal of Computer Vision, 2001.
25.
go back to reference F. Wang, M. Zhou, and B. Zhu. A novel feature based rapid eye state detection method. In Robotics and Biomimetics (ROBIO), 2009 IEEE International Conference on, pages 1236–1240, 2009. F. Wang, M. Zhou, and B. Zhu. A novel feature based rapid eye state detection method. In Robotics and Biomimetics (ROBIO), 2009 IEEE International Conference on, pages 1236–1240, 2009.
26.
go back to reference Y.-S. Wu, T.-W. Lee, Q.-Z. Wu, and H.-S. Liu. An eye state recognition method for drowsiness detection. In Vehicular Technology Conference (VTC 2010-Spring), 2010 IEEE 71st, pages 1–5, 2010. Y.-S. Wu, T.-W. Lee, Q.-Z. Wu, and H.-S. Liu. An eye state recognition method for drowsiness detection. In Vehicular Technology Conference (VTC 2010-Spring), 2010 IEEE 71st, pages 1–5, 2010.
Metadata
Title
Research Aspects
Authors
Aleksandar Čolić
Oge Marques
Borko Furht
Copyright Year
2014
DOI
https://doi.org/10.1007/978-3-319-11535-1_4

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