Motorcyclist muscle fatigue decision support tools in prolonged motorcycle riding / Helmi Rashid

Motorcycle has been known to be a popular type of road transport globally. Increase of motorcycle numbers on the road has been associated with the increase of motorcycle road accidents significantly. Even though vast studies have suggested various countermeasures, the increment continuously spikes e...

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Main Author:	Rashid, Helmi
Format:	Thesis
Language:	English
Published:	2019
Subjects:	Machine shops and machine shop practice
Online Access:	https://ir.uitm.edu.my/id/eprint/52233/1/52233.pdf
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id	my-uitm-ir.52233
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spelling	my-uitm-ir.522332022-04-12T01:36:08Z Motorcyclist muscle fatigue decision support tools in prolonged motorcycle riding / Helmi Rashid 2019 Rashid, Helmi Machine shops and machine shop practice Miscellaneous motors and engines.Including gas, gasoline, diesel engines Motor vehicles. Cycles Motorcycle has been known to be a popular type of road transport globally. Increase of motorcycle numbers on the road has been associated with the increase of motorcycle road accidents significantly. Even though vast studies have suggested various countermeasures, the increment continuously spikes every year all around the globe. For that reason, this study ventures into the scientific exploration and explanation of human factors in motorcycling concerning muscle fatigue in prolonged motorcycle riding. Beginning with a theoretical framework adapted from several established studies, an extended risk factors theory of Human-Machine-Environment Interaction (HMEI) anchored this study via three main phases. Quantitative method was used in initial data collection through questionnaire survey involving 330 male motorcyclist respondents. A pilot on-road motorcycle riding experiment was also conducted involving one male motorcyclist which also used a wireless surface electromyography (sEMG) system to measure the respondent's muscle activities. This resulted to the establishment of a full-scale HMEI indoor motorcycle simulator facility. The first phase successfully identified four major motorcyclist's muscle groups which linked to muscle fatigue namely; Extensor Carpi Radialis (forearm), Trapezius (shoulder), Latissimus Dorsi (middle back), and Erector Spinae (lower back). This leads to the achievement of the first study's objective. The second phase involved comprehensive experimental procedures involving extensive prolonged motorcycle riding simulations and sEMG measurements with a group of 30 male motorcyclist respondents. The muscles' timeto- fatigue of 1 hour 27.5 minutes from the simulations was acquired. It was then compared with the questionnaire survey's time-to-fatigue of 1 hour 32.1 minutes. Eventually the optimum duration of riding time was determined with a duration of 1 hour 25 minutes. This lead to the achievement of the study's second objective. The preceding information were then used to develop the decision support tools in the third phase comprising of a motorcyclist ergonomics assessment tool and a motorcycle riding guidelines namely; Safe Prolonged Riding Index Tool (SPRInT) and Prolonged Riding (ProRIDE) Guideline, respectively. A stretching exercise for motorcyclist muscle fatigue management was introduced in the ProRIDE Guideline namely; ABStretch (arms, back and shoulders stretching) exercise. The SPRInT was acknowledged to be viable by potential end users, whereas the ABStretch exercise was validated via sEMG measurements in another prolonged motorcycle riding simulations involving another 5 male motorcyclist respondents. Validation results show that the time-to-fatigue managed to be extended to approximately another 10-30 minutes longer. The SPRInT was further included inside the ProRIDE Guideline before being printed into a brief booklet. This leads to the achievement of the study's third objective and novelties before final conclusions of the whole study were presented. Several recommendations were also proposed to further expand this study in the future. To wrap up the whole study, it is hoped that these contributions will further help motorcyclists to ride better and safer on the roads besides catalysing future research in the motorcycle ergonomics niche area. 2019 Thesis https://ir.uitm.edu.my/id/eprint/52233/ https://ir.uitm.edu.my/id/eprint/52233/1/52233.pdf text en public phd doctoral Universiti Teknologi MARA Faculty of Mechanical Engineering Omar, Abdul Rahman (Prof. Ir. Dr. Hj.)
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Omar, Abdul Rahman (Prof. Ir. Dr. Hj.)
topic	Machine shops and machine shop practice Machine shops and machine shop practice Machine shops and machine shop practice
spellingShingle	Machine shops and machine shop practice Machine shops and machine shop practice Machine shops and machine shop practice Rashid, Helmi Motorcyclist muscle fatigue decision support tools in prolonged motorcycle riding / Helmi Rashid
description	Motorcycle has been known to be a popular type of road transport globally. Increase of motorcycle numbers on the road has been associated with the increase of motorcycle road accidents significantly. Even though vast studies have suggested various countermeasures, the increment continuously spikes every year all around the globe. For that reason, this study ventures into the scientific exploration and explanation of human factors in motorcycling concerning muscle fatigue in prolonged motorcycle riding. Beginning with a theoretical framework adapted from several established studies, an extended risk factors theory of Human-Machine-Environment Interaction (HMEI) anchored this study via three main phases. Quantitative method was used in initial data collection through questionnaire survey involving 330 male motorcyclist respondents. A pilot on-road motorcycle riding experiment was also conducted involving one male motorcyclist which also used a wireless surface electromyography (sEMG) system to measure the respondent's muscle activities. This resulted to the establishment of a full-scale HMEI indoor motorcycle simulator facility. The first phase successfully identified four major motorcyclist's muscle groups which linked to muscle fatigue namely; Extensor Carpi Radialis (forearm), Trapezius (shoulder), Latissimus Dorsi (middle back), and Erector Spinae (lower back). This leads to the achievement of the first study's objective. The second phase involved comprehensive experimental procedures involving extensive prolonged motorcycle riding simulations and sEMG measurements with a group of 30 male motorcyclist respondents. The muscles' timeto- fatigue of 1 hour 27.5 minutes from the simulations was acquired. It was then compared with the questionnaire survey's time-to-fatigue of 1 hour 32.1 minutes. Eventually the optimum duration of riding time was determined with a duration of 1 hour 25 minutes. This lead to the achievement of the study's second objective. The preceding information were then used to develop the decision support tools in the third phase comprising of a motorcyclist ergonomics assessment tool and a motorcycle riding guidelines namely; Safe Prolonged Riding Index Tool (SPRInT) and Prolonged Riding (ProRIDE) Guideline, respectively. A stretching exercise for motorcyclist muscle fatigue management was introduced in the ProRIDE Guideline namely; ABStretch (arms, back and shoulders stretching) exercise. The SPRInT was acknowledged to be viable by potential end users, whereas the ABStretch exercise was validated via sEMG measurements in another prolonged motorcycle riding simulations involving another 5 male motorcyclist respondents. Validation results show that the time-to-fatigue managed to be extended to approximately another 10-30 minutes longer. The SPRInT was further included inside the ProRIDE Guideline before being printed into a brief booklet. This leads to the achievement of the study's third objective and novelties before final conclusions of the whole study were presented. Several recommendations were also proposed to further expand this study in the future. To wrap up the whole study, it is hoped that these contributions will further help motorcyclists to ride better and safer on the roads besides catalysing future research in the motorcycle ergonomics niche area.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Rashid, Helmi
author_facet	Rashid, Helmi
author_sort	Rashid, Helmi
title	Motorcyclist muscle fatigue decision support tools in prolonged motorcycle riding / Helmi Rashid
title_short	Motorcyclist muscle fatigue decision support tools in prolonged motorcycle riding / Helmi Rashid
title_full	Motorcyclist muscle fatigue decision support tools in prolonged motorcycle riding / Helmi Rashid
title_fullStr	Motorcyclist muscle fatigue decision support tools in prolonged motorcycle riding / Helmi Rashid
title_full_unstemmed	Motorcyclist muscle fatigue decision support tools in prolonged motorcycle riding / Helmi Rashid
title_sort	motorcyclist muscle fatigue decision support tools in prolonged motorcycle riding / helmi rashid
granting_institution	Universiti Teknologi MARA
granting_department	Faculty of Mechanical Engineering
publishDate	2019
url	https://ir.uitm.edu.my/id/eprint/52233/1/52233.pdf
_version_	1783734850456387584

Motorcyclist muscle fatigue decision support tools in prolonged motorcycle riding / Helmi Rashid

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