Title of article
Identification of Driver’s Fitness using Video Images and Steering Based Features
Author/Authors
Ngadiran, Ruzelita Universiti Kebangsaan Malaysia - MEMS Research Group, Department of Mechanical and Materials Engineering, Malaysia , Mohd Nor, Mohd Jailani Universiti Kebangsaan Malaysia - MEMS-Automotive Research Group,Department of Mechanical and Materials Engineering, Malaysia , Md Saad, Mohd Hanif Universiti Kebangsaan Malaysia - MEMS-Automotive Research Group, Department of Mechanical and Materials Engineering, Malaysia , Kurniawan, Yohan Universiti Kebangsaan Malaysia - MEMS Research Group, Department of Mechanical and Materials Engineering, Malaysia
From page
215
To page
224
Abstract
Driver s Fitness is defined as a measure of a person s physical strength, flexibility, and endurance to drive.Two main factors that lead to unfit driver are drowsiness and fatigue.This paper discusses features extracted from live video of drivers and steering wheel displacement to identify the relative state of driver s fitness. A software based system, Driver s Fitness Monitoring and Training System (DFMTS) was developed for to acquire the required data, extract the selected features and identify driver s fitness. Fifteen participants were tested in an automotive simulator. Results obtained showed that there are identical patterns of the selected features found among the unfit driver s.
Keywords
Driver s Fitness , steering wheel displacement , Driver s Fitness Monitoring and Training System (DFMTS) , automotive simulator.
Record number
2588258
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