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Comparative Study of Face Tracking Algorithms for Remote Photoplethysmography

Jayasinghe, J.A.S.Y.; Katsigiannis, Stamos; Malasinghe, Lakmini

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Authors

J.A.S.Y. Jayasinghe

Lakmini Malasinghe



Abstract

Remote Photoplethysmography (rPPG) is a non-invasive approach for monitoring Heart Rate (HR) that can be used in various applications in healthcare and biometrics. rPPG measurements acquired using facial videos have become very popular and one of the main steps of this technique is facial tracking and Region of Interest (ROI) extraction. This research paper investigates four widely used face tracking algorithms, namely MediaPipe Face Mesh (MPFM), Haar Cascade, Multi-task Cascaded Convolutional Network (MTCNN), and Dlib, concerning their ROI extraction capabilities for rPPG HR measurements. Using evaluation metrics such as accuracy, processing time, and ease of extracting ROIs, this work also recommends the most suitable face tracking algorithm from those mentioned above for rPPG measurements, and presents a compilation of a prioritization list of ROIs based on their sensitivities for rPPG measurements. Experimental results showed that the MPFM algorithm and cheek ROIs provided the best HR measurements.

Citation

Jayasinghe, J., Katsigiannis, S., & Malasinghe, L. (2024). Comparative Study of Face Tracking Algorithms for Remote Photoplethysmography. In 2023 International Conference on Electrical, Computer and Energy Technologies (ICECET). https://doi.org/10.1109/ICECET58911.2023.10389182

Presentation Conference Type Conference Paper (Published)
Conference Name International Conference on Electrical, Computer and Energy Technologies (ICECET 2023)
Start Date Nov 16, 2023
End Date Nov 17, 2023
Acceptance Date Aug 7, 2023
Online Publication Date Jan 22, 2024
Publication Date Jan 22, 2024
Deposit Date Sep 27, 2023
Publicly Available Date Sep 27, 2023
Publisher Institute of Electrical and Electronics Engineers
Book Title 2023 International Conference on Electrical, Computer and Energy Technologies (ICECET)
ISBN 9798350327823
DOI https://doi.org/10.1109/ICECET58911.2023.10389182
Public URL https://durham-repository.worktribe.com/output/1728962

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