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.
An attention monitoring system for high demanding operational tasks / B. Apolloni, D. Malchiodi, C. Mesiano - In: CHSPS 2004 : proceedings of the 2004 IEEE international conference on computational intelligence for homeland security and personal safety, S. Giuliano, Venice, Italy, 21-22 july, 2004Piscataway : IEEE, 2004. - ISBN 0780383818. - pp. 23-29 (( convegno International Conference on Computational Intelligence for Homeland Security and Personal Safety tenutosi a Venezia, Italy nel 2004.
An attention monitoring system for high demanding operational tasks
B. ApolloniPrimo
;D. MalchiodiSecondo
;C. MesianoUltimo
2004
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.
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