{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/a-reproducible-study-on-remote-heart-rate","title":"A Reproducible Study on Remote Heart Rate Measurement","arxiv_id":"1709.00962","date":"2017-09-04","proceeding":null,"authors":["Guillaume Heusch","André Anjos","Sébastien Marcel"],"abstract":"This paper studies the problem of reproducible research in remote\nphotoplethysmography (rPPG). Most of the work published in this domain is\nassessed on privately-owned databases, making it difficult to evaluate proposed\nalgorithms in a standard and principled manner. As a consequence, we present a\nnew, publicly available database containing a relatively large number of\nsubjects recorded under two different lighting conditions. Also, three\nstate-of-the-art rPPG algorithms from the literature were selected, implemented\nand released as open source free software. After a thorough, unbiased\nexperimental evaluation in various settings, it is shown that none of the\nselected algorithms is precise enough to be used in a real-world scenario.","url_abs":"http://arxiv.org/abs/1709.00962v1","url_pdf":"http://arxiv.org/pdf/1709.00962v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"a-reproducible-study-on-remote-heart-rate","repo_url":"https://github.com/dalaoplan/Happy-rPPG-Toolkit","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"a-reproducible-study-on-remote-heart-rate","repo_url":"https://github.com/dalaoplan/happp-rppg-toolkit","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1709.00962","atlas_url":"https://app.syntology.ai/?focus=1709.00962","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}