Human Activity Patterns Prediction (HAPP) System for Smart Healthcare Applications

Abstract

In recent days, individuals are relocated in urban rapidly from rural regions.  Health care facility is the the most complex sector which is enormously influenced with the huge flood of individuals. Consequently, urban region society are taking enormous efforts for technological development for providing healthier environment society to individuals. This venture proposes a model Human Activity Patterns Prediction (HAPP) System for Smart Healthcare Application that uses a huge data set of smart home for knowledge gathering and finding the patterns of human behaviours for healthcare services provider. The proposed idea uses the various data mining techniques like Association rules, clustering, and prediction to quantify, examine the power consumptions variation that happens due to occupant’s behaviour. HAPP system points out the requirement to examine the patterns of power used by the home appliances, since it is independent of human activity. The information collected from smart meters was processed and using the data mining techniques, the outcome were analysed and monitored.