An IoT-based ambient assisted living for elderly care and monitoring in COVID-19 pandemic using arti cial intelligence and deep learning

Abstract

In late 2019, a novel Coronavirus broke out from China, which has dispersed all over the globe and has taken away countless lives. Despite the fact that every person is at risk of getting infected with the virus, older people are more likely to fall victim to the virus due to their declining immune systems. Although there has been signi cant development of vaccines, it is seen that the mutation of the COVID-19 has made it tough to control with the medication available. Due to an uncountable number of Coronavirus strains, many countries are now facing the second wave of the pandemic. This disease is very contagious. Assisted living technologies are evolving with time to give people a better life. This technology can be used for older people in Coronavirus pandemic situations. Most of them have physical and cognitive impairments and face immense challenges in their day-to-day life. Older people are vulnerable to disease, and even simple disease can worsen their health. If our older people stay healthy and safe, our world would be a better place. In this paper, we have proposed an IoT-architectured system incorporated with Arti cial intelligence and deep learning that can help diagnose a disease of our beloved aged people. The proposed architecture will collect all the data from di erent medical IoT sensors and relay them to the cloud, where the system will process and help us monitor the health of older people. This information will be seen from a dedicated dashboard. The system will be able to predict the possible COVID-19 disease that an elderly person may su er in the near future. We cannot imagine a world without our dearest older people, and the chances of the next pandemic cannot be eliminated either. In order to be prepared for any future pandemic, this type of system will be bene cial.