Abstract
We infer symbolic rules for deciding the awareness state of a driver on the basis of physiological signals traced on his body through non invasive techniques. We use a standard device for collecting signals and a three-level procedure for: 1) extracting features from them, 2) computing Boolean independent components of the features acting as propositional variables, and 3) inferring Boolean normal forms on these variables deciding the driver awareness. In spite of their symbolic form, these formulas are not easily interpretable, rather they represent a sort of Boolean wavelets for describing the driver emotional state. A set of experiments are shown on a benchmark expressly drawn from a car driver simulator by the Psychology Department of Queen University of Belfast.
Work partially funded by the E.C. contract No. IST-2000-26091, “ORESTEIA: mOdular hybRid artEfactS wiTh adaptivE functIonAlity”.
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Apolloni, B. et al. (2003). Monitoring of Car Driving Awareness from Biosignals. In: Apolloni, B., Marinaro, M., Tagliaferri, R. (eds) Neural Nets. WIRN 2003. Lecture Notes in Computer Science, vol 2859. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45216-4_30
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DOI: https://doi.org/10.1007/978-3-540-45216-4_30
Publisher Name: Springer, Berlin, Heidelberg
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