Friday, October 9, 2015 — 3:00 PM to 3:30 PM EDT

Topic

Driver Inattention Detection System: A PSO-based Multiview Classification Approach
 

Abstract

This paper presents driver simulation results for multi-sensory platform aimed at providing data that are used for driver states classification. This
work explores PCA and S-PCA, for dimensionality reduction, and Random Forest, for classification. Finally, PSO-based multi-view classification is used for final fusion of the individual classifiers. The results suggest S-PCA, Random Forest and PSO-based multiview classification as the best combination reaching an accuracy of 91.46% for the limited available input data.

Location 
E5 - Engineering 5
Room E5-5106
200 University Avenue West

Waterloo, ON N2L 3G1
Canada

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