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Kinect, as an individual feeling surrounding peripherals, not only changes the users' entertainment experience, also provides a new way between users and machine interaction. Using easily and improving the gesture recognition accuracy, the paper presents a method that a device sensors are used to get the more than 20 joint point information, and a specific position is distinguished by the Euclidean distance and Angle of each joint point. The result shows that the recognition rate is higher using the method to identify the position and extension action library is used to meet the needs of determining different positions at any time. On this basis, the paper has been implemented in various fields or carried on the beneficial exploration of possible application. © (2014) Trans Tech Publications, Switzerland.
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