Driver Drowsiness Detection and Measurement Methods - Driver Drowsiness Detection: Systems and Solutions - page 14

2. T. Akerstedt, K. Hume, D. Minors, and J. Waterhouse. The subjective meaning of good sleep,
an intraindividual approach using the Karolinska sleep diary. Percept Mot Skills , 79(1 Pt

1):287-96, 1994.
3. M. Akin, M. B. Kurt, N. Sezgin, and M. Bayram. Estimating vigilance level by using EEG and
EMG signals. Neural Comput. Appl. , 17(3):227-236, Apr. 2008.
4. H. J. Baek, G. S. Chung, K. K. Kim, and K.-S. Park. A smart health monitoring chair for
nonintrusive measurement of biological signals. Information Technology in Biomedicine, IEEE
Transactions on , 16(1):150-158, 2012.
5. 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.
6. D. J. Buysse, C. F. Reynolds III, T. H. Monk, S. R. Berman, and D. J. Kupfer. The Pittsburgh
sleep quality index: A new instrument for psychiatric practice and research. Psychiatry

Research , 28:193-213, 1989.
7. Carskadon MA and Dement WC and Mitler MM and Roth T and Westbrook PR and Keenan S.
Guidelines for the multiple sleep latency test (MSLT): a standard measure of sleepiness. Sleep ,
9:519-524, 1989.
8. B. Cheng, W. Zhang, Y. Lin, R. Feng, and X. Zhang. Driver drowsiness detection based
on multisource information. Human Factors and Ergonomics in Manufacturing and Service
Industries , 22(5):450-467, 2012.
9. 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.
10. M. Dehnavi, N. Attarzadeh, and M. Eshghi. Real time eye state recognition. In Electrical

Engineering (ICEE), 2011 19th Iranian Conference on , pages 1-4, 2011.
11. D. Dinges and U. S. N. H. T. S. Administration. Evaluation of Techniques for Ocular
Measurement as an Index of Fatigue and as the Basis for Alertness Management .Un ted
States. Dept. of Transportation. National Highway Traffic Safety Administration, 1998.
12. 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.
13. T. D'Orazio, M. Leo, C. Guaragnella, and A. Distante. A visual approach for driver inattention
detection. Pattern Recognition , 40(8):2341-2355, 2007.
14. A. B. Douglass, R. Bornstein, G. Nino-Murcia, S. Keenan, L. Miles, V. P. Zarcone, C. Guillem-
inault, and W. C. Dement. The sleep disorders questionnaire. i: Creation and multivariate
structure of SDQ. Sleep , 17(2):160-7, 1994.
15. S. H. Fairclough and R. Graham. Impairment of driving performance caused by sleep
deprivation or alcohol: A comparative study. Human Factors: The Journal of the Human
Factors and Ergonomics Society , 41(1):118-128, 1999.
16. R. Feng, G. Zhang, and B. Cheng. An on-board system for detecting driver drowsiness based on
multi-sensor data fusion using Dempster-Shafer theory. In Networking, Sensing and Control,
2009. ICNSC '09. International Conference on Networking , pages 897-902, 2009.
17. J. Gomez-Clapers and R. Casanella. A fast and easy-to-use ECG acquisition and heart rate
monitoring system using a wireless steering wheel. Sensors Journal, IEEE , 12(3):610-616,

2012.
18. J. Guo and X. Guo. Eye state recognition based on shape analysis and fuzzy logic. In Intelligent
Vehicles Symposium, 2009 IEEE , pages 78-82, 2009.
19. R. Hammoud, A. Wilhelm, P. Malawey, and G. Witt. Efficient real-time algorithms for eye state
and head pose tracking in advanced driver support systems. In Computer Vision and Pattern
Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on , volume 2, pages 1181
vol. 2-, 2005.
20. P.-C. Hii and W.-Y. Chung. A comprehensive ubiquitous healthcare solution on an Android TM
mobile device. Sensors , 11(7):6799-6815, 2011.
21. E. Hoddes, V. Zarcone, H. Smythe, R. Phillips, and W. C. Dement. Quantification of sleepiness:
a new approach. Psychophysiology , 10(4):431-6, 1973.