DocumentCode :
2228518
Title :
Non intrusive physiological measurement for driver cognitive distraction detection: Eye and mouth movements
Author :
Azman, Afizan ; Meng, Qinggang ; Edirisinghe, Eran
Author_Institution :
Res. Sch. of Inf., Loughborough Univ., Loughborough, UK
Volume :
3
fYear :
2010
fDate :
20-22 Aug. 2010
Abstract :
Driver distractions can be categorized into 3 major parts:-visual, cognitive and manual. Visual and manual distraction on a driver can be physically detected. However, assessing cognitive distraction is difficult since it is more of an “internal” distraction rather than any easily measured “external” distraction. There are several methods available that can be used to detect cognitive driver distraction. Physiological measurements, performance measures (primary and secondary tasks) and rating scales are some of the well-known measures to detect cognitive distraction. This study focused on physiological measurements, specifically on a driver´s eye and mouth movements. Six different participants were involved in our experiment. The duration of the experiment was 8 minutes and 49 seconds for each participant. Eye and mouth movements were obtained using the FaceLab Seeing Machine cameras and their magnitude of the r-values were found more than 60% thus proving that they are strongly correlated to each other.
Keywords :
biomechanics; biomedical measurement; cognition; computer vision; driver information systems; eye; medical image processing; physiology; FaceLab Seeing Machine cameras; driver cognitive distraction detection; external distraction; eye movements; internal distraction; mouth movements; nonintrusive physiological measurement; r-values; Atmospheric measurements; Manuals; Mouth; Particle measurements; Bayesian Network; Cognitive distraction; Driving Safety; Pearson-r Correlation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
Conference_Location :
Chengdu
ISSN :
2154-7491
Print_ISBN :
978-1-4244-6539-2
Type :
conf
DOI :
10.1109/ICACTE.2010.5579547
Filename :
5579547
Link To Document :
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