Uso de gestos de mão como uma interface de interação entre usuários e a TV digital interativa

Abstract

New Interactive Digital TV (iDTV) users, particularly the Smart TV (Smart TV), have experienced new ways of relating to the TV via remote controls that incorporate more functionality, motion sensing controls and controls through gesture recognition. The layouts operated by these controls had to adapt these new features and functionalities have options either by direct access (a single button), sometimes by indirect access (button combination), and in this second case, make the activity interaction with iDTV quite difficult because they require a level of familiarity with the very high electronic interaction devices. The remote control is the standard device used to allow user interaction with the TV, but sometimes its use becomes dull and difficult. In this scenario, the use of gestures emerges as a more natural and less invasive to assist or replace the remote control as a possible interaction mode. This paper proposed the construction of a prototype for Interactive Digital TV that could be controlled in its operations adjusting sound volume and exchanging programming channel through remote and through a set of gestures, defined from a set rules of Usability Engineering. The defining the layout and set of gestures process was conducted with the participation of users, and from these definitions, the features of the TV so constructed as to have the on-screen information about the volume and channel programming in addition to the gesture recognition process. The prototype built in this paper differs from commercial products because it took into account the relationship between the cost and performance of the devices used, seeking to offer an affordable and flexible option as to their use in different equipment. The approach described in this paper addresses the challenges that were faced in the areas of Engineering, Usability, iDTV and Computer Vision with final prototype compared to other methods and products, showing a performance of approximately 95% in the accuracy of the displayed gesture and a rate of speed 26 frames per second.