Driver Drowsiness Detection and Measurement Methods - Driver Drowsiness Detection: Systems and Solutions - page 16

41. W. Liu, Y. Wang, and L. Jia. An effective eye states detection method based on projection. In
Signal Processing (ICSP), 2010 IEEE 10th International Conference on , pages 829-831, 2010.
42. 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.
43. A. T. McCartt, S. A. Ribner, A. I. Pack, and M. C. Hammer. The scope and nature of the drowsy
driving problem in New York State. Accident Analysis and Prevention , 28(4):511-517, 1996.
44. R. A. McKinley, L. K. McIntire, R. Schmidt, D. W. Repperger, and J. A. Caldwell. Evaluation
of eye metrics as a detector of fatigue. Human Factors: The Journal of the Human Factors and
Ergonomics Society , 53(4):403-414, 2011.
45. M. M. Mitler, K. S. Gujavarty, and C. P. Browman. Maintenance of wakefulness test:
a polysomnographic technique for evaluation treatment efficacy in patients with excessive
somnolence. Electroencephalogr Clin Neurophysiol , 53(6):658-61, 1982.
46. A. Mizuno, H. Okumura, and M. Matsumura. Development of neckband mounted active bio-
electrodes for non-restraint lead method of ECG R wave. In J. Sloten, P. Verdonck, M. Nyssen,
and J. Haueisen, editors, 4th European Conference of the International Federation for Medical
and Biological Engineering , volume 22 of IFMBE Proceedings , pages 1394-1397. Springer
Berlin Heidelberg, 2009.
47. E. Murphy-Chutorian and M. Trivedi. Head pose estimation and augmented reality tracking:
An integrated system and evaluation for monitoring driver awareness. Intelligent Transporta-
tion Systems, IEEE Transactions on , 11(2):300-311, 2010.
48. S. Otmani, T. Pebayle, J. Roge, and A. Muzet. Effect of driving duration and partial sleep
deprivation on subsequent alertness and performance of car drivers. Physiology and Behavior ,
84(5):715-724, 2005.
49. A. I. Pack, A. M. Pack, E. Rodgman, A. Cucchiara, D. F. Dinges, and C. Schwab. Characteris-
tics of crashes attributed to the driver having fallen asleep. Accident Analysis and Prevention ,
27(6):769-775, 1995.
50. M. Patel, S. K. L. Lal, D. Kavanagh, and P. Rossiter. Applying neural network analysis on
heart rate variability data to assess driver fatigue. Expert Syst. Appl. , 38(6):7235-7242, June
2011.
51. P. Philip, I. Ghorayeb, D. Leger, J. Menny, B. Bioulac, P. Dabadie, and C. Guilleminault. Objec-
tive measurement of sleepiness in summer vacation long-distance drivers. Electroencephalogr
Clin Neurophysiol , 102(5):383-9, 1997.
52. H. Qin, J. Liu, and T. Hong. An eye state identification method based on the Embedded
Hidden Markov Model. In Vehicular Electronics and Safety (ICVES), 2012 IEEE International
Conference on , pages 255-260, 2012.
53. 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.
54. L. Rosenthal, T. A. Roehrs, and T. Roth. The sleep-wake activity inventory: A self-report
measure of daytime sleepiness. Biological Psychiatry , 34(11):810-820, 1993.
55. M. Saradadevi and P. Bajaj. Driver fatigue detection using Mouth and Yawning analysis.
International Journal of Computer Science and Network Security , 8(6):183-188, 2008.
56. P. Smith, M. Shah, and N. da Vitoria Lobo. Determining driver visual attention with one
camera. Intelligent Transportation Systems, IEEE Transactions on , 4(4):205-218, 2003.
57. P. Thiffault and J. Bergeron. Monotony of road environment and driver fatigue: a simulator
study. Accident Analysis and Prevention , 35(3):381-391, 2003.
58. 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.
59. 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.
60. N. H. Villaroman and D. C. Rowe. Improving accuracy in face tracking user interfaces using
consumer devices. In Proceedings of the 1st Annual conference on Research in information
technology , RIIT '12, pages 57-62, New York, NY, USA, 2012. ACM.