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For the limitation of hand region segmentation with skin color in the traditional gesture recognition, this paper used Kinect to obtaining depth information to segment the palm could get better results. The palm contour was polygonal approximation, and selected the convex points as the candidate fingertip. It distinguished the fingertips accurately from the unwanted convex points by a threshold circle. Utilizing the distance relation of the non zero pixel (white) to the nearest zero pixel to extract the palm center, the threshold circle transformed radius dynamically by linear regression method . In the classification and recognition, combining the Hu moment and the number of fingertip as the feature of gesture, and the KNN classifier achieved gesture recognition. Experiments show that the gesture recognition algorithm based on composite features and dynamic threshold circle method has better recognition rate and real-time performance. [ABSTRACT FROM AUTHOR]

Copyright of Application Research of Computers / Jisuanji Yingyong Yanjiu is the property of Application Research of Computers Edition and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Application Research of Computers / Jisuanji Yingyong Yanjiu is the property of Application Research of Computers Edition and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Application Research of Computers / Jisuanji Yingyong Yanjiu is the property of Application Research of Computers Edition and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)