EEG-based fuzzy neural network estimator for driving performance

Ruei Cheng Wu, Chin Teng Lin, Sheng-Fu Liang, Teng Yi Huang, Tzyy Ping Jung

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

Accidents caused by drivers' drowsiness have a high fatality rate because of the marked decline in the drivers' vehicle control abilities. Preventing accidents caused by drowsiness is highly desirable but requires techniques for continuously detecting, estimating, and predicting the level of alertness of drivers. This paper proposes a brain-machine interface that combines electroencephalographic power spectrum estimation, principal component analysis, and fuzzy neural networks to estimate/predict drivers' drowsiness level in a virtual-reality-based driving simulator. The driving performance is defined as deviation between the center of the vehicle and the center of the cruising lane. Our results demonstrated that the proposed method is feasible to accurately estimate quantitatively driving performance in a realistic driving simulator.

Original languageEnglish
Title of host publication2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004
Pages4034-4040
Number of pages7
DOIs
Publication statusPublished - 2004 Dec 1
Event2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004 - The Hague, Netherlands
Duration: 2004 Oct 102004 Oct 13

Publication series

NameConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Volume4
ISSN (Print)1062-922X

Other

Other2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004
CountryNetherlands
CityThe Hague
Period04-10-1004-10-13

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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  • Cite this

    Wu, R. C., Lin, C. T., Liang, S-F., Huang, T. Y., & Jung, T. P. (2004). EEG-based fuzzy neural network estimator for driving performance. In 2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004 (pp. 4034-4040). (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics; Vol. 4). https://doi.org/10.1109/ICSMC.2004.1400975