The 1st Challenge on Remote Physiological Signal Sensing (RePSS)
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by
Xiaobai Li, Hu Han, Hao Lu, Xuesong Niu, Zitong Yu, Antitza Dantcheva,
Guoying Zhao, Shiguang Shan
2020
Abstract
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.
For this concern, we organize the first challenge on Remote Physiological
Signal Sensing (RePSS), in which two databases of VIPL and OBF are provided as
the benchmark 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.
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