Abstract
Heart rate (HR) is one of the essential physiological parameters and acts as an indicator of person’s physiological condition. This work deals with the noncontact measurement of human HR from live video. It is a real-time application using a camera. The algorithm for face detection is used to recognize human faces, and HR information is extracted from the color variation in facial skin caused by blood circulation. The variation in the blood circulation causes changes in the pixel intensity of the live video recorded. The extraction of the specific frequency is achieved by band-pass filtering, and the pixel intensity average is calculated. Finally, HR of the subject is measured using frequency domain method. The measured HR from the proposed contactless procedure is compared to the standard method using the patient monitoring system, and experimental accuracy is determined in terms of differences in the beats per minute. This method of noncontact measurement of heart rate from live face video can able to give a high range of accuracies under well-controlled environmental conditions. The accuracy can be improvised by using high-quality cameras and by increasing the pixel intensity. This approach provides benefits for medical and computing applications.
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Nithyaa, A.N., Sakthivel, S., Santhosh Kumar, K., Pradeep Raj, P. (2021). Contactless Measurement of Heart Rate from Live Video and Comparison with Standard Method. In: Manocha, A.K., Jain, S., Singh, M., Paul, S. (eds) Computational Intelligence in Healthcare. Health Information Science. Springer, Cham. https://doi.org/10.1007/978-3-030-68723-6_13
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