Abstract
In recent days, many wearable biological data measuring devices have been developed. Despite many advantages, these devices have a few shortcomings such as tissue allergies, motion artifact, and signal noise problem. User identification for the remote monitoring center is another issue. Most of these problems are caused by the sensor contact measurement method. Due to these problems, many studies have been conducted to find ways that simplify the measurement process and cause less discomfort to the users. Many existing studies measured heart rate and respiratory rate by extracting photo plethysmography (PPG) signals from the user’s face with cameras and proper lighting. In this study, the face recognition experiment, we conducted face recognition in various situations. The recognition rate of this system exhibited 96.0% accuracy when trying to recognize the front, and exhibited 86.0% accuracy from the sides of the face. The average heart rate estimation accuracy was 99.1%, compared to the gold standard method.
Keywords
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Verkruysse, W., Svaasand, L.O., Nelson, J.S.: Remote plethysmographic imaging using ambient light. Opt. Express 16(26), 21434–21445 (2008)
Poh, M.-Z., McDuff, D.J., Picard, R.W.: Non-contact automated cardiac pulse measurements using video imaging and blind source separation. Opt. Express 18(10), 10762–10774 (2010)
Poh, M.-Z., McDuff, D.J., Picard, R.W.: Advancements in noncontact, multiparameter physiological measurements using a webcam. IEEE Trans. Biomed. Eng. 58(1), 7–11 (2011)
McDuff, D., Gontarek, S., Picard, R.W.: Improvements in remote cardiopulmonary measurement using a five band digital camera. IEEE Trans. Biomed. Eng. 61(10), 2593–2601 (2014)
Kamarainen, J.-K., Kyrki, V., Kalviainen, H.: Invariance properties of gabor filter-based features-overview and applications. IEEE Trans. Image Process. 15(5), 1088–1099 (2006)
Gesche, H., Grosskurth, D., Küchler, G., Patzak, A.: Continuous blood pressure measurement by using the pulse transit time: comparison to a cuff-based method. Eur. J. Appl. Physiol. 112(1), 309–315 (2012)
Myronenko, A., Song, X., Carreira-Perpinan, M.A.: Non-rigid point registration: coherent point drift. In: Advances in Neural Information Processing Systems 19, pp. 1009–1016 (2007)
Zitova, B., Flusser, J.: Image registration methods: a survey. Image Vis. Comput. 21, 977–1000 (2003)
Chui, H., Rangarajan, A.: A new point matching algorithm for non-rigid registration. Comput. Vis. Image Underst. 89, 114–141 (2003)
Zheng, Y., Doermann, D.: Robust point matching for nonrigid shapes by preserving local neighborhood structures. IEEE Trans. Pattern Anal. Mach. Intell. 28, 643–649 (2006)
Acknowledgement
This work is supported by the Foundation Assist Project of Future Advanced User Convenience Service” through the Ministry of Trade, Industry and Energy (MOTIE) (R0004840, 2020) and Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2017R1D1A1B04031182).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Kim, Ci., Lee, Jh. (2021). A Development of Enhanced Contactless Bio Signal Estimation Algorithm and System for COVID19 Prevention. In: Singh, M., Kang, DK., Lee, JH., Tiwary, U.S., Singh, D., Chung, WY. (eds) Intelligent Human Computer Interaction. IHCI 2020. Lecture Notes in Computer Science(), vol 12615. Springer, Cham. https://doi.org/10.1007/978-3-030-68449-5_16
Download citation
DOI: https://doi.org/10.1007/978-3-030-68449-5_16
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-68448-8
Online ISBN: 978-3-030-68449-5
eBook Packages: Computer ScienceComputer Science (R0)