| DOI | Resolve DOI: https://doi.org/10.1109/SAS58821.2023.10254027 |
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| Author | Search for: Elhajjar, Diane1; Search for: Wallace, Bruce1; Search for: Law, Andrew1, 2; Search for: Goubran, Rafik1; Search for: Knoefel, Frank1 |
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| Affiliation | - Carleton University, Systems and Computer Engineering
- National Research Council of Canada. Aerospace
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| Format | Text, Article |
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| Conference | 2023 IEEE Sensors Applications Symposium (SAS), July 18-20, 2023, Ottawa, Ontario, Canada |
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| Subject | confidence metric; digital health monitoring; heart-rate; external factors; health monitoring; performace; rate estimation; skin tone; temporal averaging; video magnification |
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| Abstract | Heart rate (HR) is an essential indicator of cardiovascular disorders as well as other internal physiological complications. Normally, HR tends to vary over time with larger variations associated with external factors like stress or exercise. Video Magnification (VM) can remotely measure HR from video data acquired with an RGB/Thermal camera. Incorporating VM into digital health monitoring systems could be essential in supporting and maintaining well-being and health, especially for an aging population. Previous work has explored factors affecting VM performance such as skin tone, body motion, and light conditions as well as different facial regions of interest (ROI). The current work extends a confidence model for VM methods by proposing temporal combination of partially overlapping consecutive windows. Results from 19 subjects show that temporal averaging enhances VM performance and improves overall HR accuracy from 61.1% to 68.4%. HR errors are associated with motion artifacts and/or darker skin tones. The confidence metric is generally proportional to the accuracy of the HR estimate, providing an indication of when VM-based HR measurements are reliable. © 2023 IEEE. |
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| Publication date | 2023-07-18 |
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| Publisher | IEEE |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 80dd0d86-4637-40f2-b41b-9c3782d54bec |
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| Record created | 2024-07-10 |
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| Record modified | 2024-07-10 |
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