The 1st Challenge on Remote Physiological Signal Sensing (RePSS)

Xiaobai Li, Hu Han, Hao Lu, Xuesong Niu, Zitong Yu, Antitza Dantcheva, Guoying Zhao, Shiguang Shan; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2020, pp. 314-315

Remote measurement of physiological signals from videos is an emerging topic. The topic draws great interests,but the lack of publicly available benchmark databases and a fair validation platform are hindering its further development. Forthisconcern,weorganizethefirstchallenge on Remote Physiological Signal Sensing (RePSS), in which two databases of VIPL and OBF are provided as the bench mark for kin researchers to evaluate their approaches. The 1st challenge of RePSS focuses on measuring the average heart rate from facial videos, which is the basic problem of remote physiological measurement. This paper presents an overview of the challenge, including data, protocol, analysis of results and discussion. The top ranked solutions are highlighted to provide insights for researchers, and future directions are outlined for this topic and this challenge.