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Gesture Classification Based on k-Nearest Neighbors Algorithm for Game Interface
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 Title & Authors
Gesture Classification Based on k-Nearest Neighbors Algorithm for Game Interface
Chae, Ji Hun; Lim, Jong Heon; Lee, Joon Jae;
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The gesture classification has been applied to many fields. But it is not efficient in the environment for game interface with low specification devices such as mobile and tablet, In this paper, we propose a effective way for realistic game interface using k-nearest neighbors algorithm for gesture classification. It is time consuming by realtime rendering process in game interface. To reduce the process time while preserving the accuracy, a reconstruction method to minimize error between training and test data sets is also proposed. The experimental results show that the proposed method is better than the conventional methods in both accuracy and time.
Gesture Classification;Game Interface;k-Nearest neighbors;
 Cited by
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