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...
| Main Authors: | , |
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| Format: | Proceeding Paper |
| Language: | English |
| Published: |
2011
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/8554/ http://irep.iium.edu.my/8554/1/ICOPOW-35.pdf |
| _version_ | 1848777022187241472 |
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| author | Kamaruddin, Norhaslinda Abdul Rahman, Abdul Wahab |
| author_facet | Kamaruddin, Norhaslinda Abdul Rahman, Abdul Wahab |
| author_sort | Kamaruddin, Norhaslinda |
| building | IIUM Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T14:39:22Z |
| format | Proceeding Paper |
| id | iium-8554 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T14:39:22Z |
| publishDate | 2011 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-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 Proceeding Paper 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 |
| spellingShingle | TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices Kamaruddin, Norhaslinda Abdul Rahman, Abdul Wahab Heterogeneous driver behavior state recognition using speech signal |
| title | 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_short | Heterogeneous driver behavior state recognition using speech signal |
| title_sort | heterogeneous driver behavior state recognition using speech signal |
| topic | TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices |
| url | http://irep.iium.edu.my/8554/ http://irep.iium.edu.my/8554/ http://irep.iium.edu.my/8554/1/ICOPOW-35.pdf |