Implicit Gesture Interaction Modeling and Algorithm for Smart TV

Since user's cognitive load and operational load is heavy in the visual gesture interaction for smart TV, we propose an implicit interaction algorithm which is based on explicit and implicit interactive context. Firstly, by analyzing the smart TV's gesture interactive scene based on the vision, we establish a multi-level context model based on user's behavior and smart TV's status, and implement the data's fusion and feature's extraction of interactive context. Then, we design and implement the inference model of CDL-DFCM and implicit interaction model which is based on the data fusion of the explicit and implicit context. The proposed method can identify the situational event of interaction and perceive the user's intention. Finally, the implicit interaction between user and smart TV is realized. Compared with the existing algorithms, experimental results show that this algorithm can improve the accuracy of operations, and reduce the time spending and the gesture's movement distance. User experience has also been promoted. © 2017, Beijing China Science Journal Publishing Co. Ltd. All right reserved.