Real-Time Pilgrims Management Using Wearable Physiological Sensors, Mobile Technology and Artificial Intelligence-Reference-Cited by-同舟云学术

Real-Time Pilgrims Management Using Wearable Physiological Sensors, Mobile Technology and Artificial Intelligence

Published:2022 Issue: Volume:10 Page:120891-120900
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Al-Shaery Ali M.¹^ORCID,Aljassmi Hamad²,Ahmed Soha G.²^ORCID,Farooqi Norah S.³^ORCID,Al-Hawsawi Abdullah N.⁴^ORCID,Moussa Mohammed⁵,Tridane Abdessamad²^ORCID,Alam Md. Didarul²^ORCID

Affiliation:

1. Department of Civil Engineering, College of Engineering and Islamic Architecture, Umm Al-Qura University, Makkah, Saudi Arabia

2. Emirates Center for Mobility Research (ECMR), United Arab Emirates University, Al Ain, United Arab Emirates

3. College of Computer and Information Systems, Umm Al-Qura University, Makkah, Saudi Arabia

4. The Custodian of the Two Holy Mosques Institute for Hajj and Umrah Research, Umm Al-Qura University, Makkah, Saudi Arabia

5. Faculty of Information Technology, Monash University, Subang Jaya, Malaysia

Funder

Deputy-Ship for Research & Innovation, Ministry of Education in Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09947052.pdf?arnumber=9947052

Reference46 articles.

1. ICE-MoCha: Intelligent Crowd Engineering using Mobility Characterization and Analytics

2. Recognition of Fatigue Driving Based on Steering Operation Using Wearable Smart Watch

3. Bigdata Enabled Realtime Crowd Surveillance Using Artificial Intelligence And Deep Learning

4. Detecting fatigue in car drivers and aircraft pilots by using non-invasive measures: The value of differentiation of sleepiness and mental fatigue

5. IoT-Based Framework for Crowd Management

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