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In this paper, we introduce skeleton recognition. We show that skeleton
measurements are unique enough to distinguish individuals using a dataset of
-real skeletons. We present an probabilistic model for recognition, and extend
+real skeletons. We present a probabilistic model for recognition, and extend
it to take advantage of consecutive frames. Finally we test our model by
collecting data for a week in a real-world setting. Our results show that
skeleton recognition performs close to face recognition, and it can be used in