Why the study?
Traditional contact sensors for vital sign monitoring face accuracy issues and psychological effects, creating a need for non-contact heart rate monitoring methods, especially in darker skin tones.
Can an intelligent algorithm applied to facial video sequences accurately estimate heart rate without contact?
Can an intelligent algorithm applied to facial video sequences accurately estimate heart rate without contact?
Non-contact heart rate monitoring using facial video sequences can achieve high accuracy, offering a potential alternative to traditional contact sensors.
Supports non-contact HR estimation feasibility; leaves open prospective validation before clinical use.
Health care systems have become essential parts of today's societies. However, the COVID-19 virus pandemic has highlighted the challenges that health care systems face. This need has encouraged scientists to improve these systems by supporting the Internet of Things (IoT) architectures and providing more contactless sensors. Still, traditional equipment based on using a contact sensor to measure vital signs, such as the heart rate, faces problems with accuracy and can have psychological effects on patients. The proposed solution aims to monitor the heart rate through non-contact measurement using a smart camera. This objective was achieved by applying an intelligent algorithm to a facial video sequence. This paper attempts to estimate the heart rate based on the color variation of the forehead skin. Specifically, the proposed method aimed to accurately estimate the heart rate in the standard condition and in the case of darker skin where the variation of the skin color was only slightly changed. The results proved that the estimation's accuracy could reach 98%.
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Ayed et al. (2021) studied this question.
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