AI Innovations in rPPG Systems for Driver Monitoring: Comprehensive Systematic Review and Future Prospects

AI Innovations in rPPG Systems for Driver Monitoring: Comprehensive Systematic Review and Future Prospects

Advanced technologies, notably camera-based systems using remote photoplethysmography (rPPG), are increasingly used in automotive safety to non-invasively monitor driver well-being and fatigue by measuring physiological metrics like heart and respiration rates. This review examines recent advancemen...

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Bibliographic Details
Main Authors: Soha G. Ahmed, Katrien Verbert, Nazar Zaki, Ashraf Khalil, Hamad Aljassmi, Fady Alnajjar
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Automotive safety
deep learning
driver monitoring
machine learning
physiological signals
rPPG
Online Access:https://ieeexplore.ieee.org/document/10856104/
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https://ieeexplore.ieee.org/document/10856104/

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