From 73834f5ef1c7be73d054baf4cf5f14a39fef17dc Mon Sep 17 00:00:00 2001
From: Jon Whiteaker <jbw@berkeley.edu>
Date: Mon, 5 Mar 2012 11:12:04 -0800
Subject: jon's final pass part one

---
 abstract.tex | 18 +++++++++---------
 1 file changed, 9 insertions(+), 9 deletions(-)

(limited to 'abstract.tex')

diff --git a/abstract.tex b/abstract.tex
index 9386d11..4940b90 100644
--- a/abstract.tex
+++ b/abstract.tex
@@ -1,11 +1,11 @@
 \begin{abstract}
-  This paper explores a novel approach for person recognition based on
-  skeletal measurements. After showing that exact measurements allow
-  for accurate recognition, we study two algorithmic approaches for
-  identification in case of approximate measurements. A real-life
-  experiment with 25 people and measurements obtained from the Kinect
-  range camera gives us promising results and comparison with state of
-  the art facial recognition validates the viability of
-  skeleton-based identification.
-\end{abstract}
+  This paper explores a novel approach for person recognition based on skeletal
+  measurements. After showing that exact measurements allow for accurate
+  recognition in a large dataset, we study two algorithmic approaches for
+  recognition given approximate measurements. We perform a real-world
+  experiment with measurements captured from the Kinect and obtain 95\%
+  accuracy with three people and 85\% accuracy with five people.  Our results
+  and a comparison with state of the art facial recognition validate the
+  viability of skeleton-based recognition.  
+  \end{abstract}
 
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