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I have been working on a project trying to develop a gesture recognition system based on kinect joint movements. I tried making my own tools but efficiency is very important with these applications and my algorithm is not fast enough. As you know kinect gives you x,y,z data for 15 points and what I want to do is monitor movements of the joints over a set number of frames (assuming the movement is meaningful and forms a gesture of some kind), then use this data as training input to a classifier (using Java Machine Learning 0.1.7). After training, I want to use the classifier to classify new movements. What is the best way to organize my data (Im thinking of storing training data in a csv), meaning how do I divide my datasets (per frame, per joint or some other pattern) for maximum efficiency?
Thanks a lot