Designing adaptable smart home environment based on resident's activity

Abstract

The main objective of this research is to design an adaptable smart home environment that is based on resident’s activity and behavior. In today’s world, smart homes are becoming the norm and many people use smart appliances on daily basis. The main purpose of smart home is to make a life more comfortable for residents that lives in it. But different people have different needs, so smart home should recognize their needs and adapt towards them. Previous studies focused on designing a smart home and how to make it more effective. These studies are not considering that smart home should continue to learn and adjust. Related to smart home adaptability, there is space for improvement and this research is trying to focus more on adapting smart home towards residents needs. Smart home system designed in this research features the following steps: collecting data via sensors, analyzing it, predicting behavior and adapting towards residents needs. The main result achieved in this research is a designed smart home system that is able to predict residents' behavior at a specific time of the day. Perspective for designing a smart home has been shifted towards adaptability to specific residents, instead of creating a solution based on standardized user. Adaptable smart home environment is even more important for residents that needs special assistance, like elderly people or people with disabilities. The suggested prediction system for smart home environment has the main goal to increase resident satisfaction and to make smart home more comfortable for living.