Title :
Physiological measurement used in real time experiment to detect driver cognitive distraction
Author :
Azman, A. ; Ibrahim, S.Z. ; Qinggang Meng ; Edirisinghe, Eran A.
Author_Institution :
Fac. of Inf. Sci. & Technol., Multimedia Univ., Jalan Ayer Keroh Lama, Malaysia
Abstract :
This paper discusses about lips and eyebrows are used to detect driver cognitive distraction by using faceAPI toolkit. A few number of classification algorithms like Support Vector Machine (SVM), Logistic Regression (LR) and Static Bayesian Network (SBN) and Dynamic Bayesian Network (DBN) have been used for accuracy rate comparison.
Keywords :
cognition; driver information systems; face recognition; pattern classification; physiology; DBN; SBN; SVM; classification algorithms; driver cognitive distraction detection; dynamic Bayesian network; faceAPI toolkit; logistic regression; physiological measurement; real time experiment; static Bayesian network; support vector machine; Bayes methods; Classification algorithms; Eyebrows; Lips; Roads; Support vector machines; Vehicles; FLM; Lips & Eyebrows; classification algorithm; faceAPI;
Conference_Titel :
Electronics, Information and Communications (ICEIC), 2014 International Conference on
Conference_Location :
Kota Kinabalu
DOI :
10.1109/ELINFOCOM.2014.6914389
