吉林大学学报(工学版) ›› 2015, Vol. 45 ›› Issue (5): 1608-1614.doi: 10.13229/j.cnki.jdxbgxb201505033

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The haptic force feature optimization based criterion of correlation

ZHANG Yan1, 2, LIANG Dong3, BAO Wen-xia3, ZHU Ming1, 3, SUN Yi-ning4   

  1. 1.Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, Anhui University, Hefei 230039,China;
    2.School of Physics and Materials Science, Anhui University, Hefei 230601,China;
    3.School of Electronics and Information Engineering, Anhui University, Hefei 230601,China;
    4.Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei 230031,China
  • Received:2013-10-09 Online:2015-09-01 Published:2015-09-01

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Abstract: Based on the haptic force dynamics feature, a method of Correlation-basis Combination Feature Optimization (CCFO) is proposed. First, the regional features of haptic force are extracted using mathematical morphology. Meanwhile, image features are extracted, such as the improved ratio of length to width, the contrast, the correlation, and the entropy. Then, the haptic force dynamics feature is optimized by criterion of correlation, and the optimal haptic force image feature is kept through analyzing the correlation coefficient. Finally, the haptic force feature set is obtained by linear summation. The experimental data are taken from the ITCSH Gait II database. The stability of the features is studied by calculating the intraclass correlation coefficient and coefficient of variation. The results show that the CCFO method can effectively reduce the number of features and hence improve the recognition rate in identity recognition.

Key words: computer application, region feature, ratio of length to width, textural feature, criterion of correlation

CLC Number: 

  • TP391.4
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