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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/8554/1/ICOPOW-35.pdf
http://irep.iium.edu.my/8554/
http://www.wseas.us/e-library/conferences/2011/Penang/ICOPOW/ICOPOW-35.pdf
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spelling my.iium.irep.85542020-12-16T16:50:58Z 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
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
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/8554/1/ICOPOW-35.pdf
http://irep.iium.edu.my/8554/
http://www.wseas.us/e-library/conferences/2011/Penang/ICOPOW/ICOPOW-35.pdf
_version_ 1687393054897471488
score 13.211869

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