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authorJon Whiteaker <jbw@berkeley.edu>2012-03-05 13:47:41 -0800
committerJon Whiteaker <jbw@berkeley.edu>2012-03-05 13:47:56 -0800
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\section{Conclusion}
\label{sec:conclusion}
-In this paper, we present exciting and promising results for face recognition.
-With greater than 90\% accuracy for less than 10 people, skeleton recognition
-can already be used in households, \eg to load personalized settings on a home
-entertainment system. Skeleton recognition performs less than 10\% worse than
-face recognition in the current setting. This is a good result considering
-face recognition has been studied for years and is more mature. Furthermore,
-skeleton recognition works in many situations when face recognition does not.
-For example, when a person is not facing the camera or when there is not enough
-light.
+In this paper, we present exciting and promising results for skeleton
+recognition. With greater than 90\% accuracy for less than 10 people, skeleton
+recognition can already be used in households, \eg to load personalized
+settings for a home entertainment system. Skeleton recognition performs less
+than 10\% worse than face recognition in the current setting. This is a good
+result considering face recognition has been studied for years and is more
+mature. Furthermore, skeleton recognition works in many situations when face
+recognition does not. For example, when a person is not facing the camera or
+when it is dark.
%we introduce skeleton recognition. We show that skeleton
%measurements are unique enough to distinguish individuals using a dataset of