Summary
The affective state of car drivers has a great impact on their driving behavior. In case of a high stress level, car drivers take more risk in turn over, car following and in neglecting traffic warning signs. In the paper we present first a list of factors which have an impact on the psychological state of the car driver with a focus on the affective state of car drivers. Next we give an outline of our multimodal system to assess the affective state of car drivers by analysis of facial expressions and speech signals. The output of our system is the basic input of a stress-o-meter providing the amount of the stress in a graphical way. We assume that this leads to a reduction of physical arousal and mental reappraisal of the situation. We present some experimental results of our assessment modules. So far we performed only lab experiments. At this moment we research noise canceling techniques in the car environment, which enable video and speech analysis in the car in real traffic environments.
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Extract
Multimodal Affect Detection of Car Drivers
1. Introduction
In the past accidents were viewed as a failure of the driver to react fast enough or correctly - leading to a focus on the perception-motor skills of the driver, see the work of Summala [I]. As a result accident prevention initially focused on better training, safer cars and roads, with clearer signs so that the driver always knows what to expect. However the condition of the roads and other physical factors have reached a level where further improvements have a diminished influence on the number of accidents. 90% of all accidents can be attributed to human errors, according to Wickens [2], making the development of a driver behavior model essential to any attempt to improve road safety through simulation. A wide array of research from traffic engineering, human factors engineering to psychology address these issues and attempt to model and explain the complex set of events and interactions that lead to accidents. Human factors engineering deals with how humans interact with each other and the system they function in. Of particular interest is the interaction between drivers and the traffic system they operate in. Human factors engineering attempts to explain the decisions humans...See the full content of this document
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