A reasoning-based framework for car driver's stress prediction

In this work, we present a novel methodology based on a dynamic Bayesian network for the estimation of car drivers stress produced due to specific driving events. the proposed methodology monitors driverpsilas stress using selected biosignals and provides a probabilistic framework in order to infer...

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Bibliographic Details
Published in2008 16th Mediterranean Conference on Control and Automation pp. 627 - 632
Main Authors Rigas, G., Katsis, C.D., Bougia, P., Fotiadis, D.I.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2008
Subjects
Automation
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Summary:In this work, we present a novel methodology based on a dynamic Bayesian network for the estimation of car drivers stress produced due to specific driving events. the proposed methodology monitors driverpsilas stress using selected biosignals and provides a probabilistic framework in order to infer the driving events resulting in stress level increase. We conducted a series of experiments under real driving conditions. The extracted results indicate a strong correlation between the level of the stress as reported by the driver and the outcome of our model.
ISBN:1424425042
9781424425044
DOI:10.1109/MED.2008.4602162