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.
Monitoring of car driving awareness from biosignals / B. Apolloni, S. Bassis, A. Brega, S. Gaito, D. Malchiodi, N. Valcamonica, A.M. Zanaboni - In: Neural nets : 14th Italian Workshop on Neural Nets, WIRN VIETRI 2003, Vietri sul Mare, Italy, June 4-7, 2003 / [a cura di] B. Apolloni, M. Marinaro, R. Tagliaferri. - Berlin : Springer, 2003. - ISBN 9783540202271. - pp. 269-277 (( Intervento presentato al 14. convegno Italian Workshop on Neural Nets (WIRN) tenutosi a Vietri sul Mare nel 2003.
|Titolo:||Monitoring of car driving awareness from biosignals|
APOLLONI, BRUNO (Primo)
BASSIS, SIMONE (Secondo)
VALCAMONICA, NORBERTO (Penultimo)
ZANABONI, ANNA MARIA (Ultimo)
|Settore Scientifico Disciplinare:||Settore INF/01 - Informatica|
|Data di pubblicazione:||2003|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1007/978-3-540-45216-4_30|
|Tipologia:||Book Part (author)|
|Appare nelle tipologie:||03 - Contributo in volume|