A Smart Home Design and Implementation Based on Kinect

Abstract

We proposed a smart home cloud system based on the Kinect camera combining control unit of STM32 with SVM classifier and networking technology. Human skeleton-based identification and posture recognition is fulfilled with Kinect depth sensor, from which users can enter different positions according to their preferences for system to learn, ultimately allow appliances have accurate predictive features. Instead of using any third-party media to complete the home appliances control, our system applies face recognition and bone matching technology to open the door, or alarm stranger invasion. Together with child fall/rain protection window, home electric power detection and web controller, it can enhance the intelligent level and security capability of the current smart home system.