Abstract
Old age is the final stage in the life processes of a human being, and it is an age group comprising a segment of the oldest members of a population. During this phase of life, people need support and care. But in reality, due to changes in modern society, the elderly have to stay alone at home. Staying at old age homes is not possible for everyone. In current society, every member of the family has to work for a living and run the family. When this is the case, the elderly are left alone at home during the work hours of the other family members. In this research article, we are going to study the design of wireless network-based homes to ensure the safety and security of elderly people. Artificial intelligence (AI) is used to construct a safe and secure social system. In the current trend of smart homes, it is mandatory for people to install WSN-based home systems to take care of the elderly residents of their homes who stay alone for long periods of time. The home-based elderly care system is designed with the implementation of trending technologies like AI and WSN. The performance of the model is evaluated with the applied optimised neural network model and compared with the existing data summarization model. From the results, it can be seen that the proposed model has provided an accuracy of 98.89%, which is 4.77% higher than the proposed algorithm.
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