Citation

Azman, A. and Edirisinghe, E. and Meng, Q. (2010) Correlation between eye movements and mouth movements to detect driver cognitive distraction. In: UNSPECIFIED.

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Abstract

Issues related to driver distraction like eating, drinking, talking to a passenger, using IVIS (In-Vehicle Information System) like MP3 and CD players, or even thinking are some of the main reasons of road deaths and road crashes. Driver distraction can be categorized into 3 different types: visual distraction, manual distraction and cognitive distraction. This paper proposes a physiological measurement to detect driver cognitive distraction. Two types of physiological measurements, eye and mouth movements are obtained using the face Lab Seeing Machine and their relationship to each other is analyzed using Pearson-r correlation. The data obtained from these two measurements showed that they are correlated to each other by more than 50%. Experimental data captured from three participants with 4936 frames each. The analysis proved that using a combination of eye and mouth movement as well as other existing features can greatly improve the performance of a driver cognitive distraction detection system.

Item Type:	Conference or Workshop Item (UNSPECIFIED)
Additional Information:	Conference on Brain-Inspired Cognitive Systems, 14-16 July 2010, Madrid
Subjects:	Q Science > Q Science (General)
Divisions:	Faculty of Information Science and Technology (FIST)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	21 Jan 2014 08:05
Last Modified:	21 Jan 2014 08:05
URII:	http://shdl.mmu.edu.my/id/eprint/4917

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