Guoying Zhao

University of Oulu

Title:Remote Heart Rate Measure from Videos

Physiological signals, including heart rate (HR), heart rate variability (HRV), and respiratory frequency (RF) are important indicators of our health, which are usually measured in clinical examinations. Traditional physiological signal measurement often involves contact sensors, which may be inconvenient or cause discomfort in long-term monitoring sessions. Recently, there were studies exploring remote HR measurement from facial videos, and many methods have been proposed. This talk first introduces this new emerging research topic and recent methods in heart rate measuring from remote face video analysis. Then the application to atrial fibrillation (AF) with the video-extracted HRV features is presented, together with a new Oulu Bio-Face (OBF) database as a benchmark set.


Guoying Zhao is currently a Professor with the Center for Machine Vision and Signal Analysis, University of Oulu, Finland, where she has been a senior researcher since 2005 and an Associate Professor since 2014. She received the Ph.D. degree in computer science from the Chinese Academy of Sciences, Beijing, China, in 2005. She got the Academy Postdoctoral position in 2007, and in 2011, she was selected to the highly competitive Academy Research Fellow position. She has authored or co-authored more than 230 papers in journals and conferences, and has served as a reviewer for many journals and conferences. Her papers have currently over 12500 citations in Google Scholar (h-index 52). She is Co-Program chair of ACM International Conference on Multimodal Interaction 2021 (ICMI), Special Sessions/Panels Chairs for FG 2023, and general chair for ICBEA 2020. She was general chair for ICBEA 2019, Co-Chair for Late Breaking Results of ICMI 2019, co-publicity chair for FG 2018, has served as area chairs for several conferences and is associate editor for Pattern Recognition, IEEE Transactions on Circuits and Systems for Video Technology, and Image and Vision Computing Journals. She has lectured tutorials at FG 2018, ICPR 2006, ICCV 2009, and SCIA 2013, and authored/edited three books and eight special issues in journals. Dr. Zhao was a Co-Chair of 17 International Workshops / special sessions in top venues, such as ICCV, CVPR, ECCV, ACCV and FG. Her students and researchers are frequent recipients of very prestigious and highly competitive fellowships, such as Academy of Finland Postdoc position, the Nokia Scholarship, Endeavour Research Fellowship, Tauno Tönning Research funding, Kauta Foundation grant and Jorma Ollila grant. She is IEEE Senior Member. Her current research interests include image and video descriptors, gait analysis, dynamic-texture recognition, facial-expression recognition, human motion analysis, and person identification. Her research has been reported by Finnish TV programs, newspapers and MIT Technology Review.