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Nearest Neighbor Search Methods for Handshape Recognition

Summary: Nearest Neighbor Search Methods for Handshape
Michalis Potamias1
and Vassilis Athitsos2
Computer Science Department, Boston University
Computer Science and Engineering Department, University of Texas at Arlington
Gestures are an important modality for human-machine communi-
cation, and robust gesture recognition can be an important com-
ponent of intelligent homes and assistive environments in general.
An important aspect of gestures is handshape. Handshapes can
hold important information about the meaning of a gesture, for ex-
ample in sign languages, or about the intent of an action, for ex-
ample in manipulative gestures or in virtual reality interfaces. At
the same time, recognizing handshape can be a very challenging
task, because the same handshape can look very different in dif-
ferent images, depending on the 3D orientation of the hand and
the viewpoint of the camera. In this paper we examine a database


Source: Athitsos, Vassilis - Department of Computer Science and Engineering, University of Texas at Arlington


Collections: Computer Technologies and Information Sciences