EEG-based drowsiness detection for safe driving using chaotic features and statistical tests

Journal of Medical Signals and Sensors

Volumn 1, Issue 2, 2011, Pages 130-137

  Mardi, Zahra ^a   Ashtiani, Seyedeh Naghmeh ^a   Mikaili, Mohammad ^a  

^a SHAHED UNIVERSITY   (Iran)

Author keywords

Alertness; drowsy driving; electro encephalography; fractal dimensions; two tailed t test

Indexed keywords

EID: 84978507861     PISSN: None     EISSN: 22287477     Source Type: Journal    
DOI: 10.4103/2228-7477.95297     Document Type: Article

References (19)

1. Kurt MB, Sezgin N, Akin M, Kirbas G, Bayram M. The ANN-based computing of drowsy level. Expert Syst Appl 2009;36:2534-42.
2. Ueno H, Kaneda M, Tsukino M. Development of drowsiness detection system. In Proc. of 1994 vehicle navigation and information systems Conference, Yokohama, Japan, IEEE 1994. p. 15-20.
3. Boverie S, Leqellec JM, Hirl A. Intelligent systems for video monitoring of vehicle cockpit. In The 1998 international congress and exposition ITS: Advanced Controls and vehicle navigation systems. SAE international; SAE Technical Paper 980613, 1998, doi:10.4271/980613, p. 1-5.
4. Grace R. Drowsy driver monitor and warning system. In International driving symposium on human factors in driver assessment, training and vehicle design, Aspen, CO. 2001, citeseer, p. 201-208.
5. Vuckovic A, Radivojevic V, Chen AC, Popovic D. Automatic re cognition of alertness and drowsiness from EEG by an artificial neural network. Med Eng Phys 2002;24:349-60.
6. Lin CT, Chen YC, Wu RC, Liang SF, Huang TY. Assessment of Driver's Driving Performance and Alertness Using EEG-based Fuzzy Neural Networks, ISCAS 2005. IEEE International Symposium on Circuits and Systems, Vol. 1. 2005. p. 152-5.
7. Subasi A. Automatic recognition of alertness level from EEG by using neural Network and wavelet coefficients. Expert Syst Appl 2005;28:701-11.
8. Papadelis C, Kourtidou-Papadeli C, Bamidis PD, Chouvarda I. Indicators of Sleepiness in an ambulatory EEG study of night driving. in Proc. of the 28th IEEE EMBS Annual International Conference New York City, USA, Aug 30-Sept 3, 2006.
9. Yoshida H, Kuramoto H, Sunada Y, Kikkawa S. EEG Analysis in Wakefulness Maintenance State Against Sleepiness by Instantaneous Equivalent Bandwidths. In Proc. of the 29th Annual International Conference of the IEEE EMBS Cité Internationale, Lyon, France August 23-26, 2007.
10. Magosso E, Ursino M, Provini F, Montagna P. Wavelet Analysis of Electroencephalographic and Electro-oculographic Changes During the Sleep Onset Period. Proc of the 29th Annual International Conference of the IEEE EMBS Cité Internationale, Lyon, France August 23-26, 2007.
11. Byung-Chan Chang, Jung-Eun Lim, Hae-Jin Kim, Bo-Hyeok Seo. A study of classification of the level of sleepiness for the drowsy driving prevention. SICE Annual Conference 2007, Kagawa University, Japan, Sept. 17-20, 2007.
12. Hu Shuyan, Zheng Gangtie. Driver drowsiness detection with eyelid related parameters by Support Vector Machine. Expert Systems with Applications. Available from: Http//:www.elsevier.com/locate/eswa. [Last accessed on 2008].
13. Michail E, Kokonozi A, Chouvarda I, Maglaveras N. EEG and HRV markers of sleepiness and loss of control during car driving. 30th Annual International IEEE EMBS Conference Vancouver, British Columbia, Canada, August 20-24, 2008.
14. Yildiz A, Akin M, Poyraz M, Kirbas G. Application of adaptive neuro-fuzzy inference system for vigilance level estimation by using wavelet-entropy feature extraction. Expert Syst Appl 2008; Vol. 36 Issue 4: P. 7390-7399.
15. Li-Chen Shi, Bao-Liang Lu. Dynamic Clustering for Vigilance Analysis Based on EEG. 30th Annual International IEEE EMBS Conference Vancouver, British Columbia, Canada, August 20-24, 2008.
16. Yeo MV, Li X, Shen K, Einar P.V. Wilder-Smith. Can SVM be used for automatic EEG detection of drowsiness during car driving?. Saf Sci 2009;47:115-24.
17. Higuchi T. Approach to an irregular time series on the basis of the fractal theory. Physica D 1988;31:277-83.
18. Selik M, Baraniuk R, Blair A. Signal Energy vs. Signal Power. Connexions module: M10055. Version 2.10: Aug 12, 2004 3:58 pm GMT-5, available from: http://cnx.org/content/m10055/2.10/.
19. Available from: http://www.sleepapnea.org/assets/files/pdf/ESS%20PDF%201990-97.pdf [Last accessed on 2011 Sept 26].