Detecting fatigue from steering behaviour applying continuous wavelet transform

Authors:
Jarek Krajewski;Martin Golz;Sebastian Schnieder;Thomas Schnupp;Christian Heinze;David Sommer
Affiliations:
University Wuppertal, Wuppertal, Germany;University of Applied Sciences Schmalkalden, Schmalkalden, Germany;University Wuppertal, Wuppertal, Germany;University of Applied Sciences Schmalkalden, Schmalkalden, Germany;University of Applied Sciences Schmalkalden, Schmalkalden, Germany;University of Applied Sciences Schmalkalden, Schmalkalden, Germany
Venue:
Proceedings of the 7th International Conference on Methods and Techniques in Behavioral Research
Year:
2010

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Abstract

The aim of this paper is to develop signal processing based method to measure fatigue from motor behaviour. The advantages of this steering wheel movement approach are that obtaining steering data within driving is robust, non obtrusive, free from sensor application and calibration efforts. Applying methods of continuous wavelet transform (CWT) provides additional information regarding the dynamics and structure of steering behavior comparing to the commonly applied spectral Fourier transform features.