Development of vehicle driver drowsiness detection system using electrooculogram (EOG)

Thurn Chia Chieh, Mohd. Marzuki Mustafa, Aini Hussain, Seyed Farshad Hendi, Burhanuddin Yeop Majlis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

26 Citations (Scopus)

Abstract

Driver drowsiness is one of the major causes of road accident. Various driver drowsiness detection systems have been designed to detect and warn the driver of impending drowsiness. Most available prototype and ongoing research have focused on video-based eye tracking system, which demands high computing power due to real time video processing. In our research, the use of electrooculogram (EOG) as an alternative to video-based systems in detecting eye activities caused by drowsiness is evaluated. The EOG, which is the electrical signal generated by eye movements, is acquired by a mobile biosignal acquisition module and are processed offline using personal computer. Digital signal differentiation and simple information fusion techniques are used to detect signs of drowsiness in the EOG signal. EOG signal is found to be a promising drowsiness detector, with detection rate of more than 800/0. Based on the tested offline processing techniques, an online fatigue monitoring system prototype based on a Personal Digital Assistant (PDA) has been designed to detect driver dozing off through EOG signal.

Original languageEnglish
Title of host publication2005 1st International Conference on Computers, Communications and Signal Processing with Special Track on Biomedical Engineering, CCSP 2005
Pages165-168
Number of pages4
DOIs
Publication statusPublished - 2005
Event2005 1st International Conference on Computers, Communications and Signal Processing with Special Track on Biomedical Engineering, CCSP 2005 - Kuala Lumpur
Duration: 14 Nov 200516 Nov 2005

Other

Other2005 1st International Conference on Computers, Communications and Signal Processing with Special Track on Biomedical Engineering, CCSP 2005
CityKuala Lumpur
Period14/11/0516/11/05

Fingerprint

Information fusion
Eye movements
Highway accidents
Personal digital assistants
Processing
Personal computers
Fatigue of materials
Detectors
Monitoring

Keywords

  • Drowsiness detection
  • Electrooculogram
  • Elelectrophysiological signal

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Biomedical Engineering

Cite this

Chieh, T. C., Mustafa, M. M., Hussain, A., Hendi, S. F., & Yeop Majlis, B. (2005). Development of vehicle driver drowsiness detection system using electrooculogram (EOG). In 2005 1st International Conference on Computers, Communications and Signal Processing with Special Track on Biomedical Engineering, CCSP 2005 (pp. 165-168). [4977181] https://doi.org/10.1109/CCSP.2005.4977181

Development of vehicle driver drowsiness detection system using electrooculogram (EOG). / Chieh, Thurn Chia; Mustafa, Mohd. Marzuki; Hussain, Aini; Hendi, Seyed Farshad; Yeop Majlis, Burhanuddin.

2005 1st International Conference on Computers, Communications and Signal Processing with Special Track on Biomedical Engineering, CCSP 2005. 2005. p. 165-168 4977181.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Chieh, TC, Mustafa, MM, Hussain, A, Hendi, SF & Yeop Majlis, B 2005, Development of vehicle driver drowsiness detection system using electrooculogram (EOG). in 2005 1st International Conference on Computers, Communications and Signal Processing with Special Track on Biomedical Engineering, CCSP 2005., 4977181, pp. 165-168, 2005 1st International Conference on Computers, Communications and Signal Processing with Special Track on Biomedical Engineering, CCSP 2005, Kuala Lumpur, 14/11/05. https://doi.org/10.1109/CCSP.2005.4977181
Chieh TC, Mustafa MM, Hussain A, Hendi SF, Yeop Majlis B. Development of vehicle driver drowsiness detection system using electrooculogram (EOG). In 2005 1st International Conference on Computers, Communications and Signal Processing with Special Track on Biomedical Engineering, CCSP 2005. 2005. p. 165-168. 4977181 https://doi.org/10.1109/CCSP.2005.4977181
Chieh, Thurn Chia ; Mustafa, Mohd. Marzuki ; Hussain, Aini ; Hendi, Seyed Farshad ; Yeop Majlis, Burhanuddin. / Development of vehicle driver drowsiness detection system using electrooculogram (EOG). 2005 1st International Conference on Computers, Communications and Signal Processing with Special Track on Biomedical Engineering, CCSP 2005. 2005. pp. 165-168
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