Cover Image

Detecting driver drowsiness based on sensors-a review

Link to publisher's homepage at http://www.mdpi.com/

Saved in:
Bibliographic Details
Main Authors: Sahayadhas, Arun, Sundaraj, Kenneth, Prof. Dr., Murugappan, M
Other Authors: arurun@gmail.com
Format: Article
Language:English
Published: Multidisciplinary Digital Publishing Institute (MDPI) 2014
Subjects:
Driver drowsiness detection
Transportation safety
Hybrid measures
Driver fatigue
Artificial intelligence techniques
Sensor fusion
Online Access:http://dspace.unimap.edu.my:80/dspace/handle/123456789/33320
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.unimap-33320
record_format dspace
spelling my.unimap-333202014-05-06T05:11:48Z Detecting driver drowsiness based on sensors-a review Sahayadhas, Arun Sundaraj, Kenneth, Prof. Dr. Murugappan, M arurun@gmail.com kenneth@unimap.edu.my murugappan@unimap.edu.my Driver drowsiness detection Transportation safety Hybrid measures Driver fatigue Artificial intelligence techniques Sensor fusion Link to publisher's homepage at http://www.mdpi.com/ In recent years, driver drowsiness has been one of the major causes of road accidents and can lead to severe physical injuries, deaths and significant economic losses. Statistics indicate the need of a reliable driver drowsiness detection system which could alert the driver before a mishap happens. Researchers have attempted to determine driver drowsiness using the following measures: (1) vehicle-based measures; (2) behavioral measures and (3) physiological measures. A detailed review on these measures will provide insight on the present systems, issues associated with them and the enhancements that need to be done to make a robust system. In this paper, we review these three measures as to the sensors used and discuss the advantages and limitations of each. The various ways through which drowsiness has been experimentally manipulated is also discussed. We conclude that by designing a hybrid drowsiness detection system that combines non-intusive physiological measures with other measures one would accurately determine the drowsiness level of a driver. A number of road accidents might then be avoided if an alert is sent to a driver that is deemed drowsy. 2014-04-01T07:05:58Z 2014-04-01T07:05:58Z 2012 Article Sensors 2012, vol. 12(12), pages 16937-16953 1424-8220 http://dspace.unimap.edu.my:80/dspace/handle/123456789/33320 http://www.mdpi.com/1424-8220/12/12/16937 http://dx.doi.org/10.3390/s121216937 en Multidisciplinary Digital Publishing Institute (MDPI)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Driver drowsiness detection
Transportation safety
Hybrid measures
Driver fatigue
Artificial intelligence techniques
Sensor fusion
spellingShingle Driver drowsiness detection
Transportation safety
Hybrid measures
Driver fatigue
Artificial intelligence techniques
Sensor fusion
Sahayadhas, Arun
Sundaraj, Kenneth, Prof. Dr.
Murugappan, M
Detecting driver drowsiness based on sensors-a review
description Link to publisher's homepage at http://www.mdpi.com/
author2 arurun@gmail.com
author_facet 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 Detecting driver drowsiness based on sensors-a review
title_short Detecting driver drowsiness based on sensors-a review
title_full Detecting driver drowsiness based on sensors-a review
title_fullStr Detecting driver drowsiness based on sensors-a review
title_full_unstemmed Detecting driver drowsiness based on sensors-a review
title_sort detecting driver drowsiness based on sensors-a review
publisher Multidisciplinary Digital Publishing Institute (MDPI)
publishDate 2014
url http://dspace.unimap.edu.my:80/dspace/handle/123456789/33320
_version_ 1643797136349855744
score 13.211869

Similar Items