吉林大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (06): 1621-1625.doi: 10.7964/jdxbgxb201306030

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Gird based gesture recognizing algorithm

DONG Li-yan1, GAO Yang1, LI Yong-li2, REN Shi-ming3   

  1. 1. College of Computer Science and Technology, Jilin University, Changchun 130012, China;
    2. School of Computer Science and Information Technology, Northeast Normal University, Changchun 130117, China;
    3. School of Management and Economics, Beijing Institute of Technology, Beijing 100037, China
  • Received:2012-12-05 Online:2013-11-01 Published:2013-11-01

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Abstract:

In order to overcome the shortcomings of conventional gesture recognizers, improve the accuracy of recognition and take human-computer interaction into consideration, a new template based recognition algorithm called Grid was proposed. Using this algorithm, the user input gesture given by point set is recognized by rotation, translation, scaling normalization and resampling. In particular, this algorithm uses a gird based method to resample the most representative points of the gesture. Experiment results show that the proposed Grid has higher accuracy with a tolerable larger time cost. This algorithm provides a reference for touch-screen based gesture interaction technique.

Key words: artificial intelligence, human computer interaction, gesture based interaction, gesture recognition, template based

CLC Number: 

  • TP301.6

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