NDLI: Driver hypovigilance diagnosis using wavelets and statistical analysis

Content Provider	IEEE Xplore Digital Library
Author	Santana Diaz, A. Jammes, B. Esteve, D. Gonzalez Mendoza, M.
Copyright Year	2002
Description	Author affiliation: Lab. d'Autom. et d'Anal. des Syst., CNRS, Toulouse, France (Santana Diaz, A.; Jammes, B.; Esteve, D.; Gonzalez Mendoza, M.)
Abstract	This paper presents a driver vigilance diagnosis system based on the analysis of measured signals with wavelets and the computation of their statistical characteristics inside variable length time-windows. Such a system should characterize the driving mode of an unspecified vigilant driver in order to detect a modification of the way of driving due to the fall of vigilance. The signals that we assume to be able to characterize the driving mode are: the position of the vehicle inside the traffic lane, also called lateral position, the steering wheel angle and vehicle speed. This study has been performed with data collected in real traffic conditions. To determine the driving characteristics of vigilant driver we have selected few driving sequences where both the EEG analysis and the driver self-evaluation indicate the driver was vigilant. Then, we qualify the relevance of our system, particularly the choice of the variable used for the diagnostic, by comparing the diagnostic produces by our system with the physiological state of the driver based on EEG analysis and the driver self-evaluation.
Starting Page	162
Ending Page	167
File Size	403353
Page Count	6
File Format	PDF
ISBN	0780373898
DOI	10.1109/ITSC.2002.1041207
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-09-06
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet analysis Statistical analysis Signal analysis Signal processing Wheels Jamming Vehicle driving Electroencephalography Road safety Road accidents
Content Type	Text
Resource Type	Article

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