Machine Learning Based Adaptive Context-Aware System for Smart Home Environment

M. Humayun Kabir, M. Robiul Hoque, Hyungyu Seo, Sung-Hyun Yang
2015 International Journal of Smart Home  
Context-awareness is the key element for building a smart home environment. The goal of a smart home is to predict the demand of home users and proactively provides the proper services by considering the user's context information. Several methods are used in context-aware system to provide services. Machine learning based approaches are capable to make better prediction and adaptation than others. In this paper, we present machine learning based context-aware system which can provide service
more » ... cording to the trained model. Two effective learning algorithms: Back propagation Neural Network, and Temporal Differential (TD) class of reinforcement learning are used for prediction and adaptation respectively. This approach indicates better adaptation for context-aware service due to the low error rate.
doi:10.14257/ijsh.2015.9.11.07 fatcat:zt65civi6jgxrmcn3lq67zi4ny