Affordable Remote Monitoring of Health Status using Facial Image Processing
A.Gheitasi1, M.M.Omari2, A.Hashem3, E.Al-Dfere4, H.Al-Moussawi5, K.Farhat6
1A.Gheitasi, Assisttant professor, Department of Electrical Engineer, Australian College of Kuwait, Kuwait.
2M.M.Omari, Assisttant professor, Department of Electrical Engineering, Australian College of Kuwait, Kuwait.
3A.Hashem, Department of Electrical Engineering, Australian College of Kuwait, Kuwait.
4E.Al-Dfere, Department of Electrical Engineering, Australian College of Kuwait,Kuwait.
5H.Al-Moussawi, Department of Electrical Engineering, Australian College of Kuwait,Kuwait.
6K.Farhat, Department of Electrical Engineering, Australian College of Kuwait,Kuwait
Manuscript received on September 16, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 2518-2521 | Volume-8 Issue-12, October 2019. | Retrieval Number: I7639078919/2019©BEIESP | DOI: 10.35940/ijitee.I7639.1081219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper presents a real-time monitoring system with a novel approach to assess the human health status without the need for using a body sensor. The project mainly targets improving the quality of life for those living independently but still require close monitoring. Skin fluctuation of the human face is monitored real time with a high-speed camera to determine vital signs including the heart rate and blood pressure. A few image processing algorithms have been utilized to determine the image fluctuations and extract the related features and acquire vital signals. An algorithm assesses and evaluates the risks involved in irregular behaviors and takes follow up actions where required. The application has been implemented on two platforms and interfaced with a high-speed camera to evaluate the performance of the remote monitoring system in indoor situations.
Keywords: Image Processing, Health Signals, Remote Monitoring, Image Acquisition, Medical Image Processing
Scope of the Article: Remote Sensing