Human-house interaction model based on artificial intelligence for residential functions

Abstract

The scenarios as smart homes and its devices requires novel ways to perform interactive actions. In this work we explore and develop a model to interact, in a natural, easy learning and intuitive manner, with a smart home, without use special sensors or another controllers, based on interpretation of complex context images captured with a trivial camera. We use artificial intelligence and computer vision techniques to recognize action icons in a uncontrolled environment and identify user interact actions gestures. Our model connects with well know computational platforms, which communicate with devices and another residential functions. Preliminary tests demonstrated that our model fits well for the objectives, working in different conditions of light, distance and ambiances.