Heterogeneous driver behavior state recognition using speech signal

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 spe...

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Bibliographic Details
Main Authors:	Kamaruddin, Norhaslinda, Abdul Rahman, Abdul Wahab
Format:	Conference or Workshop Item
Language:	English
Published:	2011
Subjects:	TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
Online Access:	http://irep.iium.edu.my/8554/ http://irep.iium.edu.my/8554/ http://irep.iium.edu.my/8554/1/ICOPOW-35.pdf

id	iium-8554
recordtype	eprints
spelling	iium-85542011-12-20T08:21:49Z http://irep.iium.edu.my/8554/ Heterogeneous driver behavior state recognition using speech signal Kamaruddin, Norhaslinda Abdul Rahman, Abdul Wahab TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices 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. 2011-10-03 Conference or Workshop Item PeerReviewed application/pdf en cc_by http://irep.iium.edu.my/8554/1/ICOPOW-35.pdf 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. http://www.wseas.us/e-library/conferences/2011/Penang/ICOPOW/ICOPOW-35.pdf
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
spellingShingle	TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices Kamaruddin, Norhaslinda Abdul Rahman, Abdul Wahab Heterogeneous driver behavior state recognition using speech signal
description	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.
format	Conference or Workshop Item
author	Kamaruddin, Norhaslinda Abdul Rahman, Abdul Wahab
author_facet	Kamaruddin, Norhaslinda Abdul Rahman, Abdul Wahab
author_sort	Kamaruddin, Norhaslinda
title	Heterogeneous driver behavior state recognition using speech signal
title_short	Heterogeneous driver behavior state recognition using speech signal
title_full	Heterogeneous driver behavior state recognition using speech signal
title_fullStr	Heterogeneous driver behavior state recognition using speech signal
title_full_unstemmed	Heterogeneous driver behavior state recognition using speech signal
title_sort	heterogeneous driver behavior state recognition using speech signal
publishDate	2011
url	http://irep.iium.edu.my/8554/ http://irep.iium.edu.my/8554/ http://irep.iium.edu.my/8554/1/ICOPOW-35.pdf
first_indexed	2023-09-18T20:18:17Z
last_indexed	2023-09-18T20:18:17Z
_version_	1777407935339560960

Heterogeneous driver behavior state recognition using speech signal

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