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This paper describes a method of employing a learning algorithm to efficiently classify gestures made by a human to a robot. Such an algorithm acts as a more powerful communication interface for Human Computer Intelligent Interaction. AIBO classifies the gestures performed by a person using neural networks and then performs actions corresponding to the gestures. This application is designed to make AIBO more accessible as a robot attuned to human behavior

Year: 2009
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