Heterogeneous driver behavior state recognition using speech signal

Authors:
Norhaslinda Kamaruddin;Abdul Wahab
Affiliations:
Faculty of Computer and Mathematical Sciences, MARA University of Technology, Selangor, Malaysia;Kulliyah of Information and Communication Technology, International Islamic University, Kuala Lumpur, Malaysia
Venue:
ICOSSSE'11 Proceedings of the 10th WSEAS international conference on System science and simulation in engineering
Year:
2011

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Abstract

Driver behavior is one of the major factors contributing to accident. Hence, if we are able to detect the abnormal driver behavior, we may be able to prevent such tragedy from happening. Based on the hypotheses that 1) driver behavior is influenced by emotion and 2) emotion can be measured using speech; we proposed an alternative way to recognize driver affective states. Emotion is assumed to be dynamic and changes gradually over time. Such assumption is collective agreed by psychologist that emotion can be represented using the affective space model. In this paper, we derived the affective space model dynamically using the emotional speech data based on three different culture bases, namely; American, European and Asian. This is to show that such approach is well generalized and can be adapted to different cultures as well. Experimental results show potential of applying such approach to determine driver behavior states (DBS); namely: sleepy, talking through cell phone, laughing while driving as well as normal driving.