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Journal: International Journal of Advanced Research in Engineering and Technology (IJARET) (Vol.13, No. 03)

Publication Date:

Authors : ;

Page : 43-53

Keywords : Smart city; health; facial & voice recognition; IOT; artificial intelligence;

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Background: Health in the smart city is a very specific field which has experienced very significant progress using technological means such as big data and the Cloud, not to mention IOT. Hospitals are now managed by IT in all their processes. The development of smart cities can help improve the health of every individual. Sensors, mobility, digitization and big data are all tools today that can anticipate, frame and care for patients in smart cities. More and more, smart cities have many innovations to improve the lives of inhabitants but also their health, directly or indirectly. From now on, patients can consult their doctors via video (smartphone, desktop computer, tablet) benefiting from the latest 5G[1] internet technologies. Methods: In this article, we propose a framework MHSC (Monitor Health for Smart City) for monitoring the state of health of an individual in a smart city. Thanks to this framework, the inhabitants of the city will have their state of health constantly monitored and will receive notifications about their state of health. To detect the state of health we propose a concept based on 5 parts: geolocation, facial recognition[2], voice recognition[3], IOT and artificial intelligence. Every person in smart city will receive instant notifications in the event that his health is in danger, this information will be sent at the same time to the medical profession for treatment and decision making. We will apply our framework MHSC to the COVID19[4] case in order to have very recent feedback on our methodology for observing and preventing patients in smart cities. Results: Until now, we have been able to set up the mobile application which will be deployed to users (via App Store or Google Play Store). Also, we have set up a web portal in order to have more cough samples anonymously. Finally, we were able to test our COVID19 detection algorithm on cough samples. Despite our initiative to collect data from COVID19 patients, we are unfortunately faced with medical confidentiality and the protection of patients' personal data, which has a visible impact on research in this field. Conclusions: The information collected and analyzed in the proposed system is used to monitor the health status of smart city residents at home or outside their homes. We were able to test our framework, which is the detection of the state of health by analyzing the voice of the inhabitants of a smart city, taking the example of Covid19, the result was successful.

Last modified: 2022-04-08 17:16:53