An intellisense algorithm for smart TV based on inference logic model of graph

In a smart TV interactive system with body-gesture control, body-gesture is the single input channel way of interaction, which leads to heavy cognitive load and operating load for users. So we propose a perception algorithm for the intentions of users (IPA). Firstly, we define interactive-context events, and build a perceptual model for associating events in interactive-context during the process of interaction. Secondly, we abstract the basic interactive-context events and analyze the scene context information at current moment and the context of user's body-gesture behavior. Finally, IPA can help the computer speculate the interactive-context event which may occur in future time and perceive the users' intent so as to achieve smart TV's intelligent perception. It is innovative because: (1) it discloses the relationship between body-gesture behavior model and the functional state of smart TV; (2) it verifies that the users' intentions based on interactive context can be perceived. Experiments show that IPA algorithm can accurately predict the users' intentions based on interactive context, and help users manipulate smart TV with harmonious, natural, smooth style.