Developing Regression Models Of Driver Fatigue Using An Ergonomics Approach

Nowadays, driving activity has become more important as this medium being practically, faster and cheaper in connecting human from one to another places. However, driving activity can cause disaster or death to human in daily life as they get fatigued while driving. Driver fatigue is a top contribut...

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Main Author:	Ani, Mohammad Firdaus
Format:	Thesis
Language:	English English
Published:	2016
Subjects:	T Technology (General)
Online Access:	http://eprints.utem.edu.my/id/eprint/18595/1/Developing%20Regression%20Models%20Of%20Driver%20Fatigue%20Using%20An%20Ergonomics%20Approach%2024%20Pages.pdf http://eprints.utem.edu.my/id/eprint/18595/2/Developing%20Regression%20Models%20Of%20Driver%20Fatigue%20Using%20An%20Ergonomics%20Approach.pdf
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institution	Universiti Teknikal Malaysia Melaka
collection	UTeM Repository
language	English English
topic	T Technology (General) T Technology (General)
spellingShingle	T Technology (General) T Technology (General) Ani, Mohammad Firdaus Developing Regression Models Of Driver Fatigue Using An Ergonomics Approach
description	Nowadays, driving activity has become more important as this medium being practically, faster and cheaper in connecting human from one to another places. However, driving activity can cause disaster or death to human in daily life as they get fatigued while driving. Driver fatigue is a top contributor to the road crashes. Psychophysical factors and biomechanical factors were identified as the causes of driver fatigue among Malaysian. The primary aim of this research is to develop the regression models based on psychophysical and biomechanical factors that contributes to fatigue, which the models can predict the relationship between the input parameters and output responses. Regression analysis was used, as this being practical, easy, user friendly and cost effective methods to develop a model. This research investigated the hand grip pressure force for the right hand and left hand while driving through different road conditions, study the relationship between the road conditions with hand grip pressure force and muscle fatigue, study the interaction between road condition with seat pressure distribution force and whole body vibration (WBV), heart rate monitoring, and developed the regression models of psychophysical factors and biomechanical factors for driver fatigue. The input parameters evaluated were time exposure, type of road, and gender; the output responses being muscle fatigue (voltage), heart rate (beats per minutes), hand grip pressure force (left hand), hand grip pressure force (right hand), seat pressure distribution force, and vibration (root mean square). Six regression models were successfully developed and validated. The modelling, validation runs were within the 90% prediction interval of the developed models and their residual errors compared to the predicted values were less than 10%. The significant parameters that influenced the output responses were also identified. Muscle fatigue, hand grip pressure force (left hand), and hang grip pressure force (right hand) were influenced by time exposure, type of road, gender, interaction between time exposure and type of road, and interaction between type of road and gender; heart rate was influenced by time exposure, type of road, and gender; pressure distribution force was influenced by time exposure, type of road, gender, interaction between time exposure and gender, and interaction between type of road and gender; and WBV was influenced by time exposure, type of road, gender, interaction between time exposure and type of road, and interaction between time exposure and gender.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Ani, Mohammad Firdaus
author_facet	Ani, Mohammad Firdaus
author_sort	Ani, Mohammad Firdaus
title	Developing Regression Models Of Driver Fatigue Using An Ergonomics Approach
title_short	Developing Regression Models Of Driver Fatigue Using An Ergonomics Approach
title_full	Developing Regression Models Of Driver Fatigue Using An Ergonomics Approach
title_fullStr	Developing Regression Models Of Driver Fatigue Using An Ergonomics Approach
title_full_unstemmed	Developing Regression Models Of Driver Fatigue Using An Ergonomics Approach
title_sort	developing regression models of driver fatigue using an ergonomics approach
granting_institution	Universiti Teknikal Malaysia Melaka
granting_department	Faculty of Manufacturing Engineering
publishDate	2016
url	http://eprints.utem.edu.my/id/eprint/18595/1/Developing%20Regression%20Models%20Of%20Driver%20Fatigue%20Using%20An%20Ergonomics%20Approach%2024%20Pages.pdf http://eprints.utem.edu.my/id/eprint/18595/2/Developing%20Regression%20Models%20Of%20Driver%20Fatigue%20Using%20An%20Ergonomics%20Approach.pdf
_version_	1747833939578322944
spelling	my-utem-ep.185952021-10-08T15:34:24Z Developing Regression Models Of Driver Fatigue Using An Ergonomics Approach 2016 Ani, Mohammad Firdaus T Technology (General) TL Motor vehicles. Aeronautics. Astronautics Nowadays, driving activity has become more important as this medium being practically, faster and cheaper in connecting human from one to another places. However, driving activity can cause disaster or death to human in daily life as they get fatigued while driving. Driver fatigue is a top contributor to the road crashes. Psychophysical factors and biomechanical factors were identified as the causes of driver fatigue among Malaysian. The primary aim of this research is to develop the regression models based on psychophysical and biomechanical factors that contributes to fatigue, which the models can predict the relationship between the input parameters and output responses. Regression analysis was used, as this being practical, easy, user friendly and cost effective methods to develop a model. This research investigated the hand grip pressure force for the right hand and left hand while driving through different road conditions, study the relationship between the road conditions with hand grip pressure force and muscle fatigue, study the interaction between road condition with seat pressure distribution force and whole body vibration (WBV), heart rate monitoring, and developed the regression models of psychophysical factors and biomechanical factors for driver fatigue. The input parameters evaluated were time exposure, type of road, and gender; the output responses being muscle fatigue (voltage), heart rate (beats per minutes), hand grip pressure force (left hand), hand grip pressure force (right hand), seat pressure distribution force, and vibration (root mean square). Six regression models were successfully developed and validated. The modelling, validation runs were within the 90% prediction interval of the developed models and their residual errors compared to the predicted values were less than 10%. The significant parameters that influenced the output responses were also identified. Muscle fatigue, hand grip pressure force (left hand), and hang grip pressure force (right hand) were influenced by time exposure, type of road, gender, interaction between time exposure and type of road, and interaction between type of road and gender; heart rate was influenced by time exposure, type of road, and gender; pressure distribution force was influenced by time exposure, type of road, gender, interaction between time exposure and gender, and interaction between type of road and gender; and WBV was influenced by time exposure, type of road, gender, interaction between time exposure and type of road, and interaction between time exposure and gender. UTeM 2016 Thesis http://eprints.utem.edu.my/id/eprint/18595/ http://eprints.utem.edu.my/id/eprint/18595/1/Developing%20Regression%20Models%20Of%20Driver%20Fatigue%20Using%20An%20Ergonomics%20Approach%2024%20Pages.pdf text en public http://eprints.utem.edu.my/id/eprint/18595/2/Developing%20Regression%20Models%20Of%20Driver%20Fatigue%20Using%20An%20Ergonomics%20Approach.pdf text en validuser https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=100610 mphil masters Universiti Teknikal Malaysia Melaka Faculty of Manufacturing Engineering 1. Abdullah, E., Fareez, M., Jamaludin, M. S., Notomi, M. & Rasmussen, J. Musculoskeletal analysis of driving fatigue: The influence of seat adjustments. Advanced Engineering Forum, 2013. Trans Tech Publ, 373-378. 2. Aktaş, N., Boyacı, İ. H., Mutlu, M. & Tanyolaç, A. 2006. Optimization of lactose utilization in deproteinated whey by Kluyveromyces marxianus using response surface methodology (RSM). Bioresource Technology, 97, 2252-2259. 3. 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Developing Regression Models Of Driver Fatigue Using An Ergonomics Approach

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