Identification of Lifestyle Behavior Patterns with Prediction of the Happiness of an Inhabitant in a Smart Home

With the rapid growth of the population and the increase in the elderly age group, there is a need to improve and maintain an independent, secure healthy lifestyle. A possible method to address this need is to apply intelligent technology using machine learning techniques in smart homes to remotely monitor an individual’ s activities. The MavHome project uses a system of basic sensors to monitor an inhabitant’ s in-home activity. We examine how smart homes can be used to detect behavioral and lifestyle patterns and from these findings provide suggestions to improve the lifestyle of the inhabitant.