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@@ -6,8 +6,8 @@ measurements are unique enough to distinguish individuals using a dataset of
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
-many more scenarios.
+skeleton recognition performs close to face recognition, and it can be
+used in other scenarios.
However, the Kinect SDK does have some limitations. First of all, the Kinect
SDK can only fit two skeletons at a time. Therefore, when a group of people