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The problem of extracting quantified information from physiological and physical indicators of the fatigue level of a vehicle driver is addressed. A chromatic approach has been used for processing the physiological and physical outputs from a driver fatigue monitoring system, the physical indicator being in the form of gyroscopic signals produced by the lateral movements of a vehicle. Some preliminary results are presented which show how the chromatic signatures of the physiological and physical indicators can be used to identify fatigue thresholds and provide a more optimized estimate of tiredness.

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