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Measurement of Physiological Factor like Heart Rate using Facial Video Analysis
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 176 - Number 26 |
| Year of Publication: 2020 |
| Authors: Sanam Kazi, Mubasshira Mansuri, Nileshkumar Pandey, Altamash Khot |
10.5120/ijca2020920264
|
Sanam Kazi, Mubasshira Mansuri, Nileshkumar Pandey, Altamash Khot . Measurement of Physiological Factor like Heart Rate using Facial Video Analysis. International Journal of Computer Applications. 176, 26 ( May 2020), 6-11. DOI=10.5120/ijca2020920264
Abstract
The physiological parameters like heart rate, blood pressure are important indicator of human's physiological state, it uncovers the human’s wellbeing. Recently, several paper reported methods to measure heart rate remotely from face videos. The methods used in those papers work correctly in stationary objects with controlled situations, but the performance degrades if the object in the video moves constantly and the illumination varies continuously. In this paper, the motive is to demonstrate that heart rate and other physiological parameters can be reliably estimated from Real Sense near- infrared images. This methods enables that heart rate estimation can be done which would be invariant to the illumination. This helps to extend its application in low-light like driving during night, etc. The method proposed not only uses the near-infrared channel which is designed originally to be hidden from users; but it also exploits the associated depth information for improved robustness to head pose. The proposed system utilizes face tracking and the PCA algorithm to counter their influences. Thus demonstrate that the method substantially outperforms all previous methods.
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