From data to insights: a comprehensive analysis of pilgrims stress and fatigue during Hajj using wearable remote sensing systems
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| Publicat a: | Journal of King Saud University. Computer and Information Sciences vol. 37, no. 5 (Jul 2025), p. 94 |
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| Altres autors: | , , , , , |
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Springer Nature B.V.
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| Accés en línia: | Citation/Abstract Full Text Full Text - PDF |
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| 022 | |a 1319-1578 | ||
| 024 | 7 | |a 10.1007/s44443-025-00095-2 |2 doi | |
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| 045 | 2 | |b d20250701 |b d20250731 | |
| 100 | 1 | |a Alshamrani, Mazin |u Umm Al-Qura University, Department of Information and Scientific Services, Custodian of the Two Holy Mosques Institute for Hajj and Umrah Research, Makkah, Saudi Arabia (GRID:grid.412832.e) (ISNI:0000 0000 9137 6644) | |
| 245 | 1 | |a From data to insights: a comprehensive analysis of pilgrims stress and fatigue during Hajj using wearable remote sensing systems | |
| 260 | |b Springer Nature B.V. |c Jul 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a The research investigates the physical and psychological stress experienced by pilgrims during Hajj and Umrah through the implementation of advanced technologies which include wearable sensors and remote sensing systems. The study achieves a "comprehensive understanding" through its multidimensional approach which combines physiological data with environmental information and subjective feedback to analyze stress dynamics beyond previous pilgrimage research. The framework demonstrates strong methodological quality through its combination of real-time biometrics with geospatial tracking and validated questionnaires but its small sample size restricts generalization. The framework provides a fundamental model for detecting essential stress thresholds but future research should focus on expanding the system and conducting extensive validation tests. The system tracks heart rate and energy expenditure and fatigue levels through Apple Watches and mobile applications and web-based analytics software which combine these biometric measurements with environmental data points that include geographical positions and activity types. The research delivers practical findings about high-stress levels which guide the development of specific interventions to boost pilgrimage experiences despite its restricted participant pool. This research leads the way for innovative solutions which align with Vision 2030 to enhance crowd management and healthcare services and overall well-being during Hajj and Umrah. | |
| 653 | |a Physiology | ||
| 653 | |a Machine learning | ||
| 653 | |a Fatigue | ||
| 653 | |a Pilgrimages | ||
| 653 | |a Applications programs | ||
| 653 | |a Heart rate | ||
| 653 | |a Psychological stress | ||
| 653 | |a Interdisciplinary aspects | ||
| 653 | |a Mobile computing | ||
| 653 | |a Remote sensing | ||
| 653 | |a Wearable technology | ||
| 653 | |a Wearable computers | ||
| 653 | |a Fatigue tests | ||
| 653 | |a Data collection | ||
| 653 | |a Data analysis | ||
| 653 | |a Remote sensing systems | ||
| 653 | |a Religion | ||
| 653 | |a Pilgrims | ||
| 653 | |a Ethics | ||
| 653 | |a Real time | ||
| 653 | |a Longitudinal studies | ||
| 653 | |a Data points | ||
| 653 | |a Case studies | ||
| 653 | |a Biometrics | ||
| 700 | 1 | |a Alhazmi, Shema |u Umm Al-Qura University, Applied College, Makkah, Saudi Arabia (GRID:grid.412832.e) (ISNI:0000 0000 9137 6644) | |
| 700 | 1 | |a Alafif, Tarik |u Umm Al-Qura University, Department of Computer Science, Jamoum University College, Jamoum, Saudi Arabia (GRID:grid.412832.e) (ISNI:0000 0000 9137 6644) | |
| 700 | 1 | |a Qadah, Thamir M. |u Umm Al-Qura University, Department of Computer and Network Engineering, College of Computing, Makkah, Saudi Arabia (GRID:grid.412832.e) (ISNI:0000 0000 9137 6644) | |
| 700 | 1 | |a Aljabri, Malak |u Umm Al-Qura University, Department of Computer and Network Engineering, College of Computing, Makkah, Saudi Arabia (GRID:grid.412832.e) (ISNI:0000 0000 9137 6644) | |
| 700 | 1 | |a Al-Eidarous, Walla |u Umm Al-Qura University, Department of Computer and Network Engineering, College of Computing, Makkah, Saudi Arabia (GRID:grid.412832.e) (ISNI:0000 0000 9137 6644) | |
| 700 | 1 | |a Alhawsawi, Abdullah |u Umm Al-Qura University, Department of Information and Scientific Services, Custodian of the Two Holy Mosques Institute for Hajj and Umrah Research, Makkah, Saudi Arabia (GRID:grid.412832.e) (ISNI:0000 0000 9137 6644) | |
| 773 | 0 | |t Journal of King Saud University. Computer and Information Sciences |g vol. 37, no. 5 (Jul 2025), p. 94 | |
| 786 | 0 | |d ProQuest |t Computer Science Database | |
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