Citation

Ze, Tan Hao and Yogarayan, Sumendra and Razak, Siti Fatimah Abdul and Abdullah, Mohd Fikri Azli and Azman, Afizan (2025) Heart Rate Measurement Using Face Recognition Techniques and Sensors. Proceedings of IEMTRONICS 2024, 1229. pp. 77-90. ISSN 1876-1100

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Abstract

The human heart rate serves as a critical metric of physiological condition and a significant indicator of an individual’s circulatory system. To measure heart rate, a non-intrusive facial recognition method has been proposed. The framework’s architecture comprises both software and hardware integration, enabling real-time heart rate measurement and validation. The system is developed with a series of steps including face detection, region of interest (ROI) extraction, green channel value extraction, signal processing, peak signal extraction, and heart rate calculation. The accuracy of the system’s heart rate measurements is validated against the heart rate results obtained from the IoT sensor, MAX30100, integrated with Arduino Mega. Testing involved 10 participants assessing the developed system in an indoor environment. Mean square error (MAE) and root mean squared error (RMSE) were calculated between the heart rate (BPM) measured by the system and the sensor to evaluate the difference and accuracy.

Item Type:	Article
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75-76.95 Calculating machines
Divisions:	Faculty of Information Science and Technology (FIST)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	06 Mar 2025 01:34
Last Modified:	06 Mar 2025 01:34
URII:	http://shdl.mmu.edu.my/id/eprint/13583

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