{"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/advancements-in-noncontact-multiparameter","title":"Advancements in Noncontact, Multiparameter Physiological Measurements Using a Webcam","arxiv_id":null,"date":"2010-10-14","proceeding":"IEEE Transactions on Biomedical Engineering 2010 10","authors":["Ming-Zher Poh","Daniel J. McDuff","Rosalind W. Picard"],"abstract":"We present a simple, low-cost method for measuring multiple physiological parameters using a basic webcam. By applying independent component analysis on the color channels in video recordings, we extracted the blood volume pulse from the facial regions. Heart rate (HR), respiratory rate, and HR variability (HRV, an index for cardiac autonomic activity) were subsequently quantified and compared to corresponding measurements using Food and Drug Administration-approved sensors. High degrees of agreement were achieved between the measurements across all physiological parameters. This technology has significant potential for advancing personal health care and telemedicine.","url_abs":"https://ieeexplore.ieee.org/document/5599853","url_pdf":"https://affect.media.mit.edu/pdfs/11.Poh-etal-TBME.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":[],"tasks":[{"task_slug":"photoplethysmography-ppg-heart-rate","task_name":"Photoplethysmography (PPG) heart rate estimation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/photoplethysmography-ppg-heart-rate-2","task":"Photoplethysmography (PPG) heart rate estimation","dataset":"MMSE-HR","model":"ICA","rank_in_archive_order":6,"of":6,"metrics":{"MAE":"7.96","MAPE (%)":" 9.20%","Pearson Correlation":"0.51","RMSE":"14.02"},"uses_additional_data":false},{"leaderboard":"/sota/photoplethysmography-ppg-heart-rate-1","task":"Photoplethysmography (PPG) heart rate estimation","dataset":"UBFC-rPPG","model":"ICA","rank_in_archive_order":7,"of":8,"metrics":{"MAE":" 4.39","MAPE (%)":"4.30%","Pearson Correlation":" 0.82","RMSE":" 11.60"},"uses_additional_data":false}],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}