Papers › Advancements in Noncontact, Multiparameter Physiological Measurements Using a Webcam

Advancements in Noncontact, Multiparameter Physiological Measurements Using a Webcam

14 Oct 2010IEEE Transactions on Biomedical Engineering 2010 10archive 2025-07-28

Ming-Zher Poh, Daniel J. McDuff, Rosalind W. Picard

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.

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Photoplethysmography (PPG) heart rate estimation

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Photoplethysmography (PPG) heart rate estimation MMSE-HR ICA MAE 7.96 #6 of 6 Archive leaderboard report
Photoplethysmography (PPG) heart rate estimation MMSE-HR ICA MAPE (%) 9.20% #6 of 6 Archive leaderboard report
Photoplethysmography (PPG) heart rate estimation MMSE-HR ICA Pearson Correlation 0.51 #6 of 6 Archive leaderboard report
Photoplethysmography (PPG) heart rate estimation MMSE-HR ICA RMSE 14.02 #6 of 6 Archive leaderboard report
Photoplethysmography (PPG) heart rate estimation UBFC-rPPG ICA MAE 4.39 #7 of 8 Archive leaderboard report
Photoplethysmography (PPG) heart rate estimation UBFC-rPPG ICA MAPE (%) 4.30% #7 of 8 Archive leaderboard report
Photoplethysmography (PPG) heart rate estimation UBFC-rPPG ICA Pearson Correlation 0.82 #7 of 8 Archive leaderboard report
Photoplethysmography (PPG) heart rate estimation UBFC-rPPG ICA RMSE 11.60 #7 of 8 Archive leaderboard report

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