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Driver fatigue and stress significantly contribute to higher number of car accidents worldwide. Although, different detection approaches have been already commercialized and used by car producers (and third party companies), research activities in this field are still needed in order to increase the reliability of these alert systems. Also, in the context of automated driving, the driver mental state assessment will be an important part of cars in future. This paper presents state-of-the-art review of different approaches for driver fatigue and stress detection and evaluation. We describe in details various signals (biological, car and video) and derived features used for these tasks and we discuss their relevance and advantages. In order to make this review complete, we also describe different datasets, acquisition systems and experiment scenarios.

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One of the parts of the accident analysis is also the objective assessment of the responsibility of accident participants related to their behavior and objective ability to avert the imminent critical situation. During a critical situation, the driver can respond by avoidance maneuver, critical braking or a combination of both. However, most of the research studies have been focused on the analysis of the driver´s brake-reaction time. The aim of this paper is to analyze the driver´s reaction time in detail during the avoidance maneuver and critical braking. For the purpose of this study, the electromyography has been used. The combination allows detailed and accurate determination of the onset of the muscle activation during the reaction. For the elimination of the result distortion, the measurements were carried out in a real vehicle on a predetermined route and also in simulated condition. Participants responded to the various types of the critical incidents, mostly sudden braking of the leading vehicle. The obtained results demonstrate differences in the time necessary for the activation of the lower and the upper limb during a critical situation.