Abstract
Based on imaging photoplethysmography (IPPG) technology, this paper proposes a physiological parameter measurement method based on facial video. This method achieves non-contact measurement of heart rate, respiratory rate, and blood oxygen saturation (SpO2) through steps such as face tracking, template matching, signal filtering, independent component analysis (ICA), and Fourier transform. By experiments, the results are verified to be consistent with standard instruments. Compared with traditional contact measurement, this method has the advantages of non-contact, low cost, simple operation and convenience for long-term monitoring, and will be widely applied in the future medical and health field.
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Acknowledgement
Project supported by the “Fei Tian” Foundation of Astronaut Center of China (Grant No. 2019SY54B0702).
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Liu, B., Mu, K., Shan, C. (2022). Research on Physiological Parameters Measurement Based on Face Video. In: Sun, F., Hu, D., Wermter, S., Yang, L., Liu, H., Fang, B. (eds) Cognitive Systems and Information Processing. ICCSIP 2021. Communications in Computer and Information Science, vol 1515. Springer, Singapore. https://doi.org/10.1007/978-981-16-9247-5_38
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DOI: https://doi.org/10.1007/978-981-16-9247-5_38
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