Information Technology Reference
In-Depth Information
22. 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.
23. J. A. Horne and L. A. Reyner. Sleep related vehicle accidents.
BMJ
, 310(6979):565-567, 3
1995.
24. S. Hu and G. Zheng. Driver drowsiness detection with eyelid related parameters by Support
Vector Machine.
Expert Syst. Appl.
, 36(4):7651-7658, May 2009.
25. M. Ingre, T. Akerstedt, B. Peters, A. Anund, and G. Kecklund. Subjective sleepiness, simulated
driving performance and blink duration: examining individual differences.
Journal of Sleep
Research
, 15(1):47-53, 2006.
26. 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.
27. M. Johns. A new method for measuring daytime sleepiness: the Epworth sleepiness scale.
Sleep
, 14(6):540-5, 1991.
28. R. Khushaba, S. Kodagoda, S. Lal, and G. Dissanayake. Driver drowsiness classification
using fuzzy wavelet-packet-based feature-extraction algorithm.
Biomedical Engineering, IEEE
Transactions on
, 58(1):121-131, 2011.
29. R. Knipling, J. Wang, and M. J. Goodman. The role of driver inattention in crashes: New
statistics from the 1995 crashworthiness data system.
Annual proceedings of the Association
for the Advancement of Automotive Medicine
, 40:377-392, 1996.
30. A. Kokonozi, E. Michail, I. C. Chouvarda, and N. Maglaveras. A study of heart rate and
brain system complexity and their interaction in sleep-deprived subjects.
In
Computers in
Cardiology, 2008
, pages 969-971, 2008.
31. M. B. Kurt, N. Sezgin, M. Akin, G. Kirbas, and M. Bayram. The ANN-based computing of
drowsy level.
Expert Systems with Applications
, 36(2, Part 1):2534-2542, 2009.
32. B.-G. Lee and W.-Y. Chung.
Multi-classifier for highly reliable driver drowsiness detection
in Android platform.
Biomedical Engineering: Applications, Basis and Communications
,
24(02):147-154, 2012.
33. A. Lenskiy and J.-S. Lee. Driver's eye blinking detection using novel color and texture segmen-
tation algorithms.
International Journal of Control, Automation and Systems
, 10(2):317-327,
2012.
34. W. C. Liang, J. Yuan, D. C. Sun, and M. H. Lin. Changes in physiological parameters
induced by indoor simulated driving: Effect of lower body exercise at mid-term break.
Sensors
,
9(9):6913-6933, 2009.
35. 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.
36. C.-T. Lin, C.-J. Chang, B.-S. Lin, S.-H. Hung, C.-F. Chao, and I.-J. Wang. A real-time wireless
brain - computer interface system for drowsiness detection.
Biomedical Circuits and Systems,
IEEE Transactions on
, 4(4):214-222, 2010.
37. F.-C. Lin, L.-W. Ko, C.-H. Chuang, T.-P. Su, and C.-T. Lin. Generalized EEG-based drowsiness
prediction system by using a self-organizing neural fuzzy system.
IEEE Trans. on Circuits and
Systems
, 59-I(9):2044-2055, 2012.
38. 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.
39. 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.
40. J. Liu, C. Zhang, and C. Zheng. EEG-based estimation of mental fatigue by using
KPCA-HMM and complexity parameters.
Biomedical Signal Processing and Control
,
5(2):124-130, 2010.
Search WWH ::
Custom Search