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Design of a Heart Rate Measurement System Using a Web Camera

  • Received : 2022.08.25
  • Accepted : 2022.09.01
  • Published : 2022.09.30

Abstract

In this paper, we design a heart rate measurement system using a web camera. In order to measure the heart rate, face image information is acquired and classified. The face image data is collected from web camera. The heart rate is measured using the collected face image data. We design a function to measure heart rate using input of face information using a web camera in non-contact manner. We design a function that reads face information and estimates heart rate by analyzing face color. An experiment was performed to compare the non-contact heart rate with the actual measured heart rate. The heart rate measurement system using a web camera proposed in this paper is a technology that can be used in various fields. It will be used in sports fields that require heart rate measurement at a low cost.

Keywords

References

  1. Philipp V. ROUAST , Marc T.P. ADAM , Raymond CHIONG , David CORNFORTH, Ewa LUX1, "Remote heart rate measurement using low-cost RGB face video: a technical literature review," Frontiers of Computer Science (electronic), DOI:10.1007/s11704-016-6243-6, 2018.
  2. Sang Hoon Oh, Seung Bong Lee, Sung Min Kim, Jae Hoon Jeong, "Development of a heart rate detection algorithm using a non-contact doppler radar via signal elimination," Biomedical Signal Processing and Control, Volume 64, February 2021. DOI:10.1016/j.bspc.2020.102314.
  3. M, Z. Poh, D. J. McDuff, and R. W. Picard, "Non-contact, automated cardiac pulse measurements using video imaging and blind source separation," Optics Express, vol. 18, no. 10, pp. 1-13, May. 2010. DOI:10.1364/OE.18.010762.
  4. Y. Sun and N. Thakor, "Photoplethysmography revisited: From contactto noncontact, from point to Imaging," IEEE Trans. Biomed. Eng., vol. 63, no. 3, pp. 463-477, Mar. 2016. DOI:10.1109/TBME.2015.2476337.
  5. E. Moya-Albor, J. Brieva, H. Ponce, and L. Martinez-Villasenor, "A non-contact heart rate estimation method using video magnification and neural networks," IEEE Instrumentation & Measurement Magazine, vol. 23, no. 4, pp. 56-62, Jun. 2020. DOI:10.1109/MIM.2020.9126072.
  6. Claudia Gonzalez Viejo, Sigfredo Fuentes, Damir D. Torrico and Frank R. Dunshea, "Non-Contact Heart Rate and Blood Pressure Estimations from Video Analysis and Machine Learning Modelling Applied to Food Sensory Responses: A Case Study for Chocolate," Sensors 2018, 18, DOI:10.3390/s18061802.
  7. Y.-Y. Tsou, Y.-A. Lee, C.-T. Hsu, and S.-H. Chang, "Siamese-rPPG network: Remote photoplethysmography signal estimation from face videos," in Proc. 35th Annu. ACM Symp. Appl. Comput., Mar. 2020, pp. 2066-2073.
  8. Yu Rong, Arindam Dutta, Alex Chiriyath and Daniel W. Bliss, "Motion-Tolerant Non-Contact Heart-Rate Measurements from Radar Sensor Fusion," Sensors 2021, 21, 1774. DOI:10.3390/s21051774.
  9. Lee, Yong gu; Park, Jun-Young; Choi, Yeon-Woo; Park, Hyun Kyung; CHO, SUNG HO; CHO, SUNG HO; Lim, Young Hyo, "Novel Non-contact Heart Rate Monitor Using Impulse-Radio Ultra-Wideband (IR-UWB) Radar Technology open access," SCIENTIFIC REPORTS, v.8, no.1., 2018., DOI:10.1038/s41598-018-31411-8.
  10. X. Chen, J. Cheng, R. Song, Y. Liu, R. Ward, and Z. J. Wang, "Video-based heart rate measurement: Recent advances and future prospects," IEEE Trans. Instrumentation Measurement, vol. 68, no. 10, pp. 3600-3615, Nov. 2018. DOI: 10.1109/TIM.2018.2879706.
  11. F. Bousefsaf, A. Pruski, and C. Maaoui, "3D convolutional neural networks for remote pulse rate measurement and mapping from facial video," Appl. Sci., vol. 9, no. 20, p. 4364, Oct. 2019. DOI: 10.3390/app9204364.
  12. D. J. McDuff, E. B. Blackford, and J. R. Estepp, "The impact of video compression on remote cardiac pulse measurement using imaging photoplethysmography," 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017), Washington DC, pp. 1-8, 2017. DOI:10.1109/FG.2017.17.
  13. R. Song, S. Zhang, C. Li, Y. Zhang, J. Cheng, and X. Chen, "Heart rate estimation from facial videos using a spatiotemporal representation with convolutional neural networks," IEEE Trans. Instrumentation Measurement, vol. 69, no. 10, pp. 7411-7421, Mar. 2020. DOI:10.1109/TIM.2020.2984168.
  14. D. Shao, C. Liu, and F. Tsow, "Noncontact Physiological Measurement Using a Camera : A Technical Review and Future Directions,"ACS sensors, vol. 21, no. 7, pp. 321-334, Dec. 2020. DOI:10.1021/acssensors.0c02042.
  15. Nunzia Molinaro1, Emiliano Schena1, Sergio Silvestri1, Fabrizio Bonotti2, Damiano Aguzzi2, Erika Viola2, Fabio Buccolini2 and Carlo Massaroni1, "Contactless Vital Signs Monitoring From Videos Recorded With Digital Cameras," Front. Physiol., DOI:10.3389/fphys.2022.801709.
  16. Seung Ju Jang, "Design of Facial Image Data Collection System for Heart Rate Measurement," JKIICE, vol.25, no.7, pp. 971-976 (6 pages), 2021, DOI : 10.6109/jkiice.2021.25.7.971.