An Intelligent Human Behavior-Based Reasoning Model for Service Prediction in Smart Home

With the rapid development of technologies and improvement of living conditions, people are increasingly concerned about their life safety, convenience, and comfortableness. Household intelligence starts to play an increasingly important role in improving people living environment. This paper focuses on service prediction in smart home automatic control systems, and proposes an intelligent human behavior-based reasoning model on the basis of linear prediction and case-based reasoning. Hardware and software are designed after analysis of the embedded architecture. In addition, an embedded smart home platform is built up and implemented to validate the proposed human behavior-based reasoning algorithm.