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Heterogeneous driver behavior state recognition using speech signal

Kamaruddin, Norhaslinda and Abdul Rahman, Abdul Wahab (2011) Heterogeneous driver behavior state recognition using speech signal. In: 10th WSEAS International Conference on System Science and Simulation in Engineering (ICOSSSE 2011), 3-5 October 2011, Penang, Malaysia.

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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.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: 6145/8554 ISBN: 978-1-61804-041-1
Uncontrolled Keywords: Driver Behavioral State, Speech Emotion Recognition, Affective Space Model, Emotion Profiling, Neural Network, Fuzzy Neural Network
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Information and Communication Technology > Department of Library & Information Science
Kulliyyah of Information and Communication Technology > Department of Library & Information Science
Depositing User: Prof Abdul Wahab Abdul Rahman
Date Deposited: 20 Dec 2011 16:21
Last Modified: 17 Dec 2020 00:50
URI: http://irep.iium.edu.my/id/eprint/8554

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