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diff --git a/conclusion.tex b/conclusion.tex index 1270fce..7a3e9ed 100644 --- a/conclusion.tex +++ b/conclusion.tex @@ -3,7 +3,7 @@ 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 |
