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...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
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2019
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| Online Access: | http://umpir.ump.edu.my/id/eprint/30683/1/SEIPTI2019.pdf |
| _version_ | 1825813728672612352 |
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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 |
| collection | UMP |
| 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. |
| first_indexed | 2024-03-06T12:48:20Z |
| format | Conference or Workshop Item |
| id | UMPir30683 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:48:20Z |
| publishDate | 2019 |
| record_format | dspace |
| spelling | UMPir306832021-02-22T03:56:30Z 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 |
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