Real-time Alarm Monitoring System for Detecting Driver Fatigue in Wireless Areas
The purpose of this paper was to develop a real-time alarm monitoring system that can detect the fatigue driving state through wireless communication. The drivers’ electroencephalogram (EEG) signals were recorded from occipital electrodes. Seven EEG rhythms with different frequency bands as gamma, h...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Zagreb, Faculty of Transport and Traffic Sciences
2017-04-01
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| Series: | Promet (Zagreb) |
| Subjects: | |
| Online Access: | https://traffic.fpz.hr/index.php/PROMTT/article/view/2058 |
| _version_ | 1828379821358448640 |
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| author | Rongrong Fu Shutao Wang Shiwei Wang |
| author_facet | Rongrong Fu Shutao Wang Shiwei Wang |
| author_sort | Rongrong Fu |
| collection | DOAJ |
| description | The purpose of this paper was to develop a real-time alarm monitoring system that can detect the fatigue driving state through wireless communication. The drivers’ electroencephalogram (EEG) signals were recorded from occipital electrodes. Seven EEG rhythms with different frequency bands as gamma, hbeta, beta, sigma, alpha, theta and delta waves were extracted. They were simultaneously assessed using relative operating characteristic (ROC) curves and grey relational analysis to select one as the fatigue feature. The research results showed that the performance of theta wave was the best one. Therefore, theta wave was used as fatigue feature in the following alarm device. The real-time alarm monitoring system based on the result has been developed, once the threshold was settled by using the data of the first ten minutes driving period. The developed system can detect driver fatigue and give alarm to indicate the onset of fatigue automatically. |
| first_indexed | 2024-12-10T03:46:16Z |
| format | Article |
| id | doaj.art-12cced306d9d4c8bbef5fa0cded86bbe |
| institution | Directory Open Access Journal |
| issn | 0353-5320 1848-4069 |
| language | English |
| last_indexed | 2024-12-10T03:46:16Z |
| publishDate | 2017-04-01 |
| publisher | University of Zagreb, Faculty of Transport and Traffic Sciences |
| record_format | Article |
| series | Promet (Zagreb) |
| spelling | doaj.art-12cced306d9d4c8bbef5fa0cded86bbe2022-12-22T02:03:25ZengUniversity of Zagreb, Faculty of Transport and Traffic SciencesPromet (Zagreb)0353-53201848-40692017-04-0129216517410.7307/ptt.v29i2.20582058Real-time Alarm Monitoring System for Detecting Driver Fatigue in Wireless AreasRongrong Fu0Shutao Wang1Shiwei Wang2Yanshan University, 438 Hebei Street, Qinhuangdao 066004Yanshan UniversityYanshan UniversityThe purpose of this paper was to develop a real-time alarm monitoring system that can detect the fatigue driving state through wireless communication. The drivers’ electroencephalogram (EEG) signals were recorded from occipital electrodes. Seven EEG rhythms with different frequency bands as gamma, hbeta, beta, sigma, alpha, theta and delta waves were extracted. They were simultaneously assessed using relative operating characteristic (ROC) curves and grey relational analysis to select one as the fatigue feature. The research results showed that the performance of theta wave was the best one. Therefore, theta wave was used as fatigue feature in the following alarm device. The real-time alarm monitoring system based on the result has been developed, once the threshold was settled by using the data of the first ten minutes driving period. The developed system can detect driver fatigue and give alarm to indicate the onset of fatigue automatically.https://traffic.fpz.hr/index.php/PROMTT/article/view/2058driver fatigueEEGreal-time alarmwireless communication |
| spellingShingle | Rongrong Fu Shutao Wang Shiwei Wang Real-time Alarm Monitoring System for Detecting Driver Fatigue in Wireless Areas Promet (Zagreb) driver fatigue EEG real-time alarm wireless communication |
| title | Real-time Alarm Monitoring System for Detecting Driver Fatigue in Wireless Areas |
| title_full | Real-time Alarm Monitoring System for Detecting Driver Fatigue in Wireless Areas |
| title_fullStr | Real-time Alarm Monitoring System for Detecting Driver Fatigue in Wireless Areas |
| title_full_unstemmed | Real-time Alarm Monitoring System for Detecting Driver Fatigue in Wireless Areas |
| title_short | Real-time Alarm Monitoring System for Detecting Driver Fatigue in Wireless Areas |
| title_sort | real time alarm monitoring system for detecting driver fatigue in wireless areas |
| topic | driver fatigue EEG real-time alarm wireless communication |
| url | https://traffic.fpz.hr/index.php/PROMTT/article/view/2058 |
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