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A Study Of Psychophysical Factor (Heart Rate) For Driver Fatigue Using Regression Model

Driving activity has become more important as this medium being practical,it is also cheaper and faster in connecting human from one to another place.However,in some occurrence,it can cause accidents as they become fatigued while driving.Driver fatigue is one of the top contributors to the road acc...

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Main Authors: Kamat, Seri Rahayu, Ani, Mohammad Firdaus, M, Mohamad, Hambali, Ruzy Haryati, Husain, Kalthom
Format: Article
Language:English
Published: Malaysian Public Health Physicians' Association 2018
Subjects:
R Medicine (General)
RA Public aspects of medicine
Online Access:http://eprints.utem.edu.my/id/eprint/21300/2/A%20STUDY%20OF%20PSYCHOPHYSICAL%20FACTOR%20%28HEART%20RATE%29%20FOR%20DRIVER%20FATIGUE%20USING%20REGRESSION%20MODEL.pdf
http://eprints.utem.edu.my/id/eprint/21300/
http://www.mjphm.org.my/mjphm/journals/2018%20-%20Special%20Volume%20(2)/A%20STUDY%20OF%20PSYCHOPHYSICAL%20FACTOR%20(HEART%20RATE)%20FOR%20DRIVER%20FATIGUE%20USING%20REGRESSION%20MODEL.pdf
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spelling my.utem.eprints.213002021-07-16T16:51:43Z http://eprints.utem.edu.my/id/eprint/21300/ A Study Of Psychophysical Factor (Heart Rate) For Driver Fatigue Using Regression Model Kamat, Seri Rahayu Ani, Mohammad Firdaus M, Mohamad Hambali, Ruzy Haryati Husain, Kalthom R Medicine (General) RA Public aspects of medicine Driving activity has become more important as this medium being practical,it is also cheaper and faster in connecting human from one to another place.However,in some occurrence,it can cause accidents as they become fatigued while driving.Driver fatigue is one of the top contributors to the road accidents and can be dangerous as other road safety issues such as drink driving.Worst is,there are no laws regulating driver fatigue.Therefore, the main purpose of this study is to develop the regression model of apsychophysical factor for drivers’ fatigue which can predict the relationship between the process input parameters and output responses.The study was participated by ten subjects.The heart rate was taken and recorded using heart rate monitor.Design Expert 8.0.6 software was used for the regression analysis.The modeling validation runs werewithin the 90% prediction intervals of the developed model and the residual errors were less than 10%.The R2 value is 0.9400 whichmeans that the linear regression line passed exactly through all points.The significant parameters that influenced the heart rate were also identified.The parameters are time exposure,type of road,and gender. Malaysian Public Health Physicians' Association 2018 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/21300/2/A%20STUDY%20OF%20PSYCHOPHYSICAL%20FACTOR%20%28HEART%20RATE%29%20FOR%20DRIVER%20FATIGUE%20USING%20REGRESSION%20MODEL.pdf Kamat, Seri Rahayu and Ani, Mohammad Firdaus and M, Mohamad and Hambali, Ruzy Haryati and Husain, Kalthom (2018) A Study Of Psychophysical Factor (Heart Rate) For Driver Fatigue Using Regression Model. Malaysian Journal Of Public Health Medicine (MJPHM), 2. pp. 1-9. ISSN 1675-0306 http://www.mjphm.org.my/mjphm/journals/2018%20-%20Special%20Volume%20(2)/A%20STUDY%20OF%20PSYCHOPHYSICAL%20FACTOR%20(HEART%20RATE)%20FOR%20DRIVER%20FATIGUE%20USING%20REGRESSION%20MODEL.pdf
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
topic R Medicine (General)
RA Public aspects of medicine
spellingShingle R Medicine (General)
RA Public aspects of medicine
Kamat, Seri Rahayu
Ani, Mohammad Firdaus
M, Mohamad
Hambali, Ruzy Haryati
Husain, Kalthom
A Study Of Psychophysical Factor (Heart Rate) For Driver Fatigue Using Regression Model
description Driving activity has become more important as this medium being practical,it is also cheaper and faster in connecting human from one to another place.However,in some occurrence,it can cause accidents as they become fatigued while driving.Driver fatigue is one of the top contributors to the road accidents and can be dangerous as other road safety issues such as drink driving.Worst is,there are no laws regulating driver fatigue.Therefore, the main purpose of this study is to develop the regression model of apsychophysical factor for drivers’ fatigue which can predict the relationship between the process input parameters and output responses.The study was participated by ten subjects.The heart rate was taken and recorded using heart rate monitor.Design Expert 8.0.6 software was used for the regression analysis.The modeling validation runs werewithin the 90% prediction intervals of the developed model and the residual errors were less than 10%.The R2 value is 0.9400 whichmeans that the linear regression line passed exactly through all points.The significant parameters that influenced the heart rate were also identified.The parameters are time exposure,type of road,and gender.
format Article
author Kamat, Seri Rahayu
Ani, Mohammad Firdaus
M, Mohamad
Hambali, Ruzy Haryati
Husain, Kalthom
author_facet Kamat, Seri Rahayu
Ani, Mohammad Firdaus
M, Mohamad
Hambali, Ruzy Haryati
Husain, Kalthom
author_sort Kamat, Seri Rahayu
title A Study Of Psychophysical Factor (Heart Rate) For Driver Fatigue Using Regression Model
title_short A Study Of Psychophysical Factor (Heart Rate) For Driver Fatigue Using Regression Model
title_full A Study Of Psychophysical Factor (Heart Rate) For Driver Fatigue Using Regression Model
title_fullStr A Study Of Psychophysical Factor (Heart Rate) For Driver Fatigue Using Regression Model
title_full_unstemmed A Study Of Psychophysical Factor (Heart Rate) For Driver Fatigue Using Regression Model
title_sort study of psychophysical factor (heart rate) for driver fatigue using regression model
publisher Malaysian Public Health Physicians' Association
publishDate 2018
url http://eprints.utem.edu.my/id/eprint/21300/2/A%20STUDY%20OF%20PSYCHOPHYSICAL%20FACTOR%20%28HEART%20RATE%29%20FOR%20DRIVER%20FATIGUE%20USING%20REGRESSION%20MODEL.pdf
http://eprints.utem.edu.my/id/eprint/21300/
http://www.mjphm.org.my/mjphm/journals/2018%20-%20Special%20Volume%20(2)/A%20STUDY%20OF%20PSYCHOPHYSICAL%20FACTOR%20(HEART%20RATE)%20FOR%20DRIVER%20FATIGUE%20USING%20REGRESSION%20MODEL.pdf
_version_ 1706960977314971648
score 13.211869

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