Prediction of fatigue level during exercise in virtual reality environment for hajj pilgrimage

Strenuous activities, especially through the eight days of the Hajj pilgrimage journey, may cause exhaustion for the Hajj pilgrims after completing each stage. Environmental factors such as being in overcrowded places and having to endure hot temperatures alongside continuous vigorous activities dur...

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Main Authors: Dayang Hjh Tiawa, Awang Hj Hamid, Abdul Hafidz, Omar, Adam, Jait, Norashikin, Yusof, Zulkifli, Ahmad@Manap
Format: Conference or Workshop Item
Language:en
Published: 2019
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/30683/1/SEIPTI2019.pdf
http://umpir.ump.edu.my/id/eprint/30683/
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author Dayang Hjh Tiawa, Awang Hj Hamid
Abdul Hafidz, Omar
Adam, Jait
Norashikin, Yusof
Zulkifli, Ahmad@Manap
author_facet Dayang Hjh Tiawa, Awang Hj Hamid
Abdul Hafidz, Omar
Adam, Jait
Norashikin, Yusof
Zulkifli, Ahmad@Manap
author_sort Dayang Hjh Tiawa, Awang Hj Hamid
building UMPSA Library
collection Institutional Repository
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
continent Asia
country Malaysia
description Strenuous activities, especially through the eight days of the Hajj pilgrimage journey, may cause exhaustion for the Hajj pilgrims after completing each stage. Environmental factors such as being in overcrowded places and having to endure hot temperatures alongside continuous vigorous activities during the Hajj can result in serious exhaustion where individual body muscles and the cardio-respiratory systems are affected, resulting in muscle cramps, dehydration and possibly illness such as fever, hypertension, stroke, asthma and heart attack. This paper aims to introduce a wearable device that can assist the pilgrims to monitor their exhaustion threshold. To test this, 30 healthy people who are about to perform hajj were chosen as respondents for the study. These subjects performed fatigue- induced exercises by walking or running on a treadmill which is integrated with a 3D virtual reality environment of Makkah. The speed of the treadmill increased its intensity at every 2 minute interval from 4 km per hour to 12km per hour until the subjects’ exhaustion threshold is reached. Simultaneously, heart rate, blood pressure and muscle fatigue were closely monitored using the developed device attached to their wrists. This device uses an electrocardiogram (ECG) and an electromyography (EMG) measurement and produces three different colour signals ranging from green, yellow and red to indicate the subjects’ exhaustion level. The data collection of each subject was then analysed using the SPSS software and also modelled in MATLAB software for the ANN method. As a result, the accuracy of prediction model presented from this study is 89.3%, indicating a high indicator for the fatigue level. Overall, this study is expected to be beneficial for hajj pilgrims who wish to evaluate their own body fitness when preparing for their Hajj pilgrimage.
format Conference or Workshop Item
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institution Universiti Malaysia Pahang
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spelling my.ump.umpir.306832021-02-22T03:56:30Z http://umpir.ump.edu.my/id/eprint/30683/ Prediction of fatigue level during exercise in virtual reality environment for hajj pilgrimage Dayang Hjh Tiawa, Awang Hj Hamid Abdul Hafidz, Omar Adam, Jait Norashikin, Yusof Zulkifli, Ahmad@Manap QP Physiology TJ Mechanical engineering and machinery Strenuous activities, especially through the eight days of the Hajj pilgrimage journey, may cause exhaustion for the Hajj pilgrims after completing each stage. Environmental factors such as being in overcrowded places and having to endure hot temperatures alongside continuous vigorous activities during the Hajj can result in serious exhaustion where individual body muscles and the cardio-respiratory systems are affected, resulting in muscle cramps, dehydration and possibly illness such as fever, hypertension, stroke, asthma and heart attack. This paper aims to introduce a wearable device that can assist the pilgrims to monitor their exhaustion threshold. To test this, 30 healthy people who are about to perform hajj were chosen as respondents for the study. These subjects performed fatigue- induced exercises by walking or running on a treadmill which is integrated with a 3D virtual reality environment of Makkah. The speed of the treadmill increased its intensity at every 2 minute interval from 4 km per hour to 12km per hour until the subjects’ exhaustion threshold is reached. Simultaneously, heart rate, blood pressure and muscle fatigue were closely monitored using the developed device attached to their wrists. This device uses an electrocardiogram (ECG) and an electromyography (EMG) measurement and produces three different colour signals ranging from green, yellow and red to indicate the subjects’ exhaustion level. The data collection of each subject was then analysed using the SPSS software and also modelled in MATLAB software for the ANN method. As a result, the accuracy of prediction model presented from this study is 89.3%, indicating a high indicator for the fatigue level. Overall, this study is expected to be beneficial for hajj pilgrims who wish to evaluate their own body fitness when preparing for their Hajj pilgrimage. 2019 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/30683/1/SEIPTI2019.pdf Dayang Hjh Tiawa, Awang Hj Hamid and Abdul Hafidz, Omar and Adam, Jait and Norashikin, Yusof and Zulkifli, Ahmad@Manap (2019) Prediction of fatigue level during exercise in virtual reality environment for hajj pilgrimage. In: Seminar Serantau Pendidikan Tinggi Islam (SEIPTI 2019) , 6-7 November 2019 , UNISSA, Brunei. pp. 669-681.. (Unpublished) (Unpublished)
spellingShingle QP Physiology
TJ Mechanical engineering and machinery
Dayang Hjh Tiawa, Awang Hj Hamid
Abdul Hafidz, Omar
Adam, Jait
Norashikin, Yusof
Zulkifli, Ahmad@Manap
Prediction of fatigue level during exercise in virtual reality environment for hajj pilgrimage
title Prediction of fatigue level during exercise in virtual reality environment for hajj pilgrimage
title_full Prediction of fatigue level during exercise in virtual reality environment for hajj pilgrimage
title_fullStr Prediction of fatigue level during exercise in virtual reality environment for hajj pilgrimage
title_full_unstemmed Prediction of fatigue level during exercise in virtual reality environment for hajj pilgrimage
title_short Prediction of fatigue level during exercise in virtual reality environment for hajj pilgrimage
title_sort prediction of fatigue level during exercise in virtual reality environment for hajj pilgrimage
topic QP Physiology
TJ Mechanical engineering and machinery
url http://umpir.ump.edu.my/id/eprint/30683/1/SEIPTI2019.pdf
http://umpir.ump.edu.my/id/eprint/30683/
url_provider http://umpir.ump.edu.my/