Robust remote heart rate estimation from multiple asynchronous noisy channels using autoregressive model with Kalman filter
Remote heart rate measurement has many powerful applications, such as measuring stress in the workplace, and the analysis of the impact of cognitive tasks on breathing and heart rate variability (HRV). Although many methods are available to measure heart rate remotely from face videos, most of them...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
Elsevier
2019
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/19953/ https://doi.org/10.1016/j.bspc.2018.09.007 |
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