The dataset contains several different static gestures acquired with the Creative Senz3D camera. It has been exploited to test the prediction accuracy of a Multi-Class SVM gesture classifier trained on synthetic data generated with HandPoseGenerator .
The dataset contains gestures performed by 4 different people, each performing 11 different gestures repeated 30 times each, for a total of 1320 samples. For each sample, color, depth and confidence frames are available. Intrinsic parameters for the Creative Senz3D are also provided.