Smart Home Danger Prediction System to ensure People with Alzheimer's Disease Safety

Abstract

At the origin of the Smart Home concept, the primary needs to provide an intelligent use of energy and create a better living environment for humans. Over the years, Smart Home technology has been adapted to many different areas and demands such as the comfort and safety of its residents. In particular, with the increase in the number of dependant people such as the elderly and people with special needs, the architecture and operation of Smart Homes became strongly related to these residents. Nevertheless, one category of inhabitants has too often been put aside, namely people with cognitive impairment. In this paper, we propose a danger prediction system to ensure the safety of people with Alzheimer's disease in a Smart Home. The proposed approach combines a prediction algorithm to a multiagent architecture in order to detect potential dangers inside the house. We then carry out a performance evaluation through simulation to demonstrate the reliability and effectiveness of the proposed approach.