Post accident analysis of driver affection
In this research paper, we proposed to understand and analyzed the driver behavior through affective space model which allows the emotion to be represented in valance(V) and arousal(A). Through this analysis, we can determine correlation between driver behavior and basics emotion which will gai...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2011
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/9614/ http://irep.iium.edu.my/9614/1/9614.pdf |
| Summary: | In this research paper, we proposed to understand and
analyzed the driver behavior through affective space
model which allows the emotion to be represented in
valance(V) and arousal(A). Through this analysis, we can
determine correlation between driver behavior and basics
emotion which will gain such agreement by psychologists
in this area. Besides, through the VA, it will let us to see
the driver behavior post accident. This paper presented,
the data which has been collected by using
Electroencephalogram (EEG) machine and classified into
two parts which consist of 4 subjects (2 females and 2
males). First part will be the three basic emotions for each
driver which are happy, calm and sad, whereas the second
part contains of 3 driving tasks. We use the Mel-frequency
cepstral coefficients (Mfcc) as tools to extract features and
together with neural network classifier, multi layer
perceptron (MLP as a classifier. According to the
preliminary experiment, the results show the reasonable
accuracy for verifying emotions and identifying subjects.
The understanding of driver’s behavior will assist us to
develop a system which can easily detect highly emotional
agitated driver so that we can prevent the accident |
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