Drowsiness detection during different times of day using multiple features
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2014
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my.unimap-333282014-04-01T08:52:45Z Drowsiness detection during different times of day using multiple features Sahayadhas, Arun Sundaraj, Kenneth, Prof. Dr. Murugappan, M arurun@gmail.com kenneth@unimap.edu.my murugappan@unimap.edu.my Driver drowsiness ECG EMG Physiological measures Subjective measures Link to publisher's homepage at http://link.springer.com/ Driver drowsiness has been one of the major causes of road accidents that lead to severe trauma, such as physical injury, death, and economic loss, which highlights the need to develop a system that can alert drivers of their drowsy state prior to accidents. Researchers have therefore attempted to develop systems that can determine driver drowsiness using the following four measures: (1) subjective ratings from drivers, (2) vehicle-based measures, (3) behavioral measures and (4) physiological measures. In this study, we analyzed the various factors that contribute towards drowsiness. A total of 15 male subjects were asked to drive for 2 h at three different times of the day (00:00–02:00, 03:00–05:00 and 15:00–17:00 h) when the circadian rhythm is low. The less intrusive physiological signal measurements, ECG and EMG, are analyzed during this driving task. Statistically significant differences in the features of ECG and sEMG signals were observed between the alert and drowsy states of the drivers during different times of day. In the future, these physiological measures can be fused with vision-based measures for the development of an efficient drowsiness detection system. 2014-04-01T08:52:45Z 2014-04-01T08:52:45Z 2013 Article Australasian Physical & Engineering Sciences in Medicine, vol. 36(2), 2013, pages 243-250 1879-5447 (Online) 0158-9938 (Print) http://dspace.unimap.edu.my:80/dspace/handle/123456789/33328 http://link.springer.com/article/10.1007%2Fs13246-013-0200-6 10.1007/s13246-013-0200-6 en Springer Netherlands |
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Driver drowsiness ECG EMG Physiological measures Subjective measures |
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Driver drowsiness ECG EMG Physiological measures Subjective measures Sahayadhas, Arun Sundaraj, Kenneth, Prof. Dr. Murugappan, M Drowsiness detection during different times of day using multiple features |
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Link to publisher's homepage at http://link.springer.com/ |
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arurun@gmail.com |
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arurun@gmail.com Sahayadhas, Arun Sundaraj, Kenneth, Prof. Dr. Murugappan, M |
format |
Article |
author |
Sahayadhas, Arun Sundaraj, Kenneth, Prof. Dr. Murugappan, M |
author_sort |
Sahayadhas, Arun |
title |
Drowsiness detection during different times of day using multiple features |
title_short |
Drowsiness detection during different times of day using multiple features |
title_full |
Drowsiness detection during different times of day using multiple features |
title_fullStr |
Drowsiness detection during different times of day using multiple features |
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Drowsiness detection during different times of day using multiple features |
title_sort |
drowsiness detection during different times of day using multiple features |
publisher |
Springer Netherlands |
publishDate |
2014 |
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http://dspace.unimap.edu.my:80/dspace/handle/123456789/33328 |
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1643797138884263936 |