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Driver stress detection : identification of the physiological parameters depending on stress exposure

Kerautret, Laora and Navarro, Jordan and Dabic, Stéphanie Driver stress detection : identification of the physiological parameters depending on stress exposure. (2020) In: 1st International Conference on Cognitive Aircraft Systems - ICCAS 2020, 18 March 2020 - 19 March 2020 (Toulouse, France). (Unpublished)

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Abstract

Driving is a complex activity taking place in a dynamic environment integrating risks and fatal situations. Many stressors (e.g, complexity of the situation, imminent danger, short or long exposure) may lead to stress states (e.g, anxiety, distress, fatigue). Stress states represent also a threat for drivers as they may affect emotions and cognitive abilities. It results in inappropriate driving behaviors, sometimes dangerous for the safety of the driver. This is precisely the close link between driver stress and substantial risk of accidents that has pushed the players of road safety and the automotive company to highlight the problem of driver stress. The challenge consists to improve the detection, evaluation, and understanding of the driver stress to design new technologies informing the driver of his stress condition or offering stress-reducing solutions adapted to the driving situation.

Item Type:Invited Conference
Audience (conference):International conference without published proceedings
Uncontrolled Keywords:
Institution:Other partners > VALEO (FRANCE)
Other partners > Université de Lyon - UDL (FRANCE)
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Deposited On:10 May 2021 14:31

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