UMP Institutional Repository

Experimental analysis of drowsiness detection system based on grasping steering bahavior

Mohamad Yusri, Mohamad Zin (2013) Experimental analysis of drowsiness detection system based on grasping steering bahavior. Faculty of Manufacturing Engineering , Universiti Malaysia Pahang.


Download (2MB)

Download (163kB) | Preview

Download (160kB) | Preview


This project presents a sensor arrangement that is suitable for measuring grip force and hand position on the steering wheel. This sensor can be used in automotive safety systems designed to detect a drowsy driver, which is the important thing to avoid road accidents. Our approach is to design a sensor network based on the way the driver grips, each sensor equipped with the ability to detect the driver's grip force, A proof-of-concept demonstration of the sensor was created, composed of 12units force sensitive resistor (FSR). This project also presents the results of grip force men and women drivers by using drive simulators at a speed of 60km / h. Four drivers (male and female) took part in this project. Grip force was measured using a force sensitive resistor mounted systems around the steering wheel. The results showed that men's grip force is much higher than female drivers and also can detect sleepy driver, when reach the drowsy level, the buzzer will be activated and will alert the driver. Drowsiness detection system using a force sensitive resistor is a useful method for determining and monitoring the power grip while driving and detecting driver drowsiness level of the driver.

Item Type: Undergraduates Project Papers
Additional Information: Project paper (Bachelor of Engineering in Manufacturing) -- Universiti Malaysia Pahang – 2013
Uncontrolled Keywords: Automobiles Steering-gear
Subjects: T Technology > TL Motor vehicles. Aeronautics. Astronautics
Faculty/Division: Faculty of Manufacturing Engineering
Depositing User: Ms. Hazima Anuar
Date Deposited: 03 Sep 2014 01:39
Last Modified: 30 Nov 2015 01:30
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item