A smart TV system with body-gesture control, tag-based rating and context-aware recommendation

Smart TV, which enables viewers to conveniently access different multimedia contents and interactive services in a single platform, is currently becoming popular. The work presented here develops three new ways to enhance the performance of a smart TV. The first is to design a body control system that recognizes and interprets human gestures as machine commands to control the TV. The second is to create a new social tag-based method to recommend the most suitable multimedia contents for users. Finally, a context-aware platform is implemented to consider different environmental situations to make the best recommendations.