Gestural interface Sample Clauses

Gestural interface. Method There are a lot of possible sensors which allow performing gesture recognition. On one hand, several wearable sensors are available, as accelerometers or gyroscopes. The data they provide does not need a lot of processing before using gesture recognition algorithms, and most of the time, filtering is enough. On the other hand, some sensors use standard or RGBD cameras and provide classical RGB images or/and 3D depth maps and 3D clouds of the scene. In this latter case, the acquired data has to be processed to extract the shape of the user and follow his gestures. For the LinkedTV project, we chose an RGBD sensor. This sensor provides, in addition to classical RGB images a depth map of the scene which describes the objects position related to the one of the camera. An example of depth map is displayed in Image 15. Image 15: RGBD camera depth map. Clear pixels are closer to the camera than dark ones. Post processing on this depth map let us extract the viewer silhouette (in cyan) and the viewer skeleton (red dots linked by red lines).
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