Estimating driving performance based on EEG spectrum and fuzzy neural network

IEEE International Conference on Neural Networks - Conference Proceedings

Volumn 1, Issue , 2004, Pages 585-590

  Wu, Ruei Cheng ^a   Lin, Chin Teng ^a   Liang, Sheng Fu ^a   Huang, Te Yi ^a   Chen, Yu Chieh ^a   Jung, Tzyy Ping ^b  

^a NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

^b UNIVERSITY OF CALIFORNIA SAN DIEGO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMOBILE DRIVERS; ELECTROENCEPHALOGRAPHY; FUZZY SETS; HIGHWAY ACCIDENTS; MATHEMATICAL MODELS; PRINCIPAL COMPONENT ANALYSIS; SECURITY SYSTEMS; STATISTICAL METHODS;

ALERTNESS; DROWSINESS; POWER SPECTRUM ESTIMATION; VEHICLE EQUIPMENTS;

NEURAL NETWORKS;

EID: 10944248819     PISSN: 10987576     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. A. Amditis, A. Polychronopoulos, E. Bekiaris, P. C. Antonello, "System Architecture of a Driver's Monitoring and Hypovigilance Warning System," IEEE Intelligent Vehicle Symposium, Vol. 2, pp. 527-532, June 2002.
2. C. M. Frederick-Recascino and M. Hilscher, "Monitoring Automated Displays: Effects of and Solutions for Boredom," The 20th Conference of Digital Avionics Systems, Vol. 1, pp. 5D3/1-5D3/5, DASC., Oct. 2001.
3. P. Smith, M. Shah, and N. da Vitoria Lobo, "Monitoring Head/Eye Motion for Driver Alertness with One Camera," Proceedings of 15th International Conference on Pattern Recognition, Vol. 4, pp. 636-642 Sep. 2000.
4. H. Ueno, M. Kaneda, and M. Tsukino, "Development of Drowsiness Detection System," Vehicle Navigation and Information Systems Conference Proceedings, pp. 15-20, Aug. 1994.
5. S. Makeig and M. Inlow, "Lapses in Alertness: Coherence of Fluctuations in Performance and EEG Spectrum," Electroencephalogy. Clin. Neurophysiol., Vol. 86, pp. 23-35, 1993.
6. J. French, "A Model to Predict Fatigue Degraded Performance," Proceedings of the 2002 IEEE 7th Conference on Human Factors and Power Plants, pp. 4/6-4/9, Sep. 2002.
7. T. P. Jung, S. Makeig, M. Stensmo, and T. J. Sejnowski, "Estimating Alertness From the EEG Power Spectrum," IEEE Transactions on Biomedical Engineering, Vol. 44, pp. 60-69, Jan. 1997.
8. T. P. Jung and S. Makeig, "Estimating Level of Alertness from EEG," Proceedings of the 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 1103-1104, Nov. 1994.
9. Y. S. Wu, H. H. Sun, J. P. Cammarota, and L. Hrebien, "Wavelet Decomposition Method on EEG Analysis of G-LOC Phenomena," Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Vol. 3, pp. 1297-1300, Oct. 1997.
10. B. J. Wilson and T. D. Bracewell, "Alertness Monitor Using Neural Networks for EEG Analysis," Proceedings of the IEEE Signal Processing Society Workshop on Neural Networks for Signal Processing X, Vol. 2, pp. 814-820, Dec. 2000.
11. S. Roberts, I. Rezek, R. Everson, H. Stone, S. Wilson, and C. Alford, "Automated Assessment of Vigilance Using Committees of Radial Basis Function Analyzers," IEE Proceedings of Science, Measurement and Technology, pp. 333-338, Nov. 2000.
12. C. F. Juang and C. T. Lin, "An On-line Self-constructing Neural Fuzzy Inference Network and its Application," IEEE Trans. Fuzzy Systems, Vol. 6, No. 1, pp. 12-32, Feb. 1998.
13. C. J. Lin and C. T. Lin, "An ART-based fuzzy adaptive learning control network," IEEE Trans. Fuzzy Systems, Vol. 5, pp. 477-496, 1997.
14. L. X. Wang, Adaptive Fuzzy Systems and Control, Englewood Cliffs, NJ: Prentice-Hall, 1994.
15. L. X. Wang and J. M. Mendel, "Generating fuzzy rules by learning from examples," IEEE Trans. Syst., Man, Cybern., Vol. 22, pp. 1414-1427, 1992.
16. H. B. D. Sorensen, "A cepstral noise reduction multilayer neural network," Proc. of the Int. Conf. of Acoust., Speech and Signal Processing, pp. 933-936, 1991.
17. C. W. Omlin, K. Thornber, and C. L. Giles, "Fuzzy Finite-State Automata can Be Deterministically Encoded into Recurrent Neural Networks," IEEE Transactions on Fuzzy Systems, Vol. 6, No. 1, pp. 76-89, 1998.
18. L. N. Teow, and K. K. Loe, "Effective Learning in Recurrent Max-Min Neural Networks," Neural Networks, Vol. 11, pp. 535-547, 1998.