• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

A Novel Method for Hand Posture Recognition Based on Depth Information Descriptor

Vol. 9, No.2, February 28, 2015
10.3837/tiis.2015.02.016, Download Paper (Free):

Abstract

Hand posture recognition has been a wide region of applications in Human Computer Interaction and Computer Vision for many years. The problem arises mainly due to the high dexterity of hand and self-occlusions created in the limited view of the camera or illumination variations. To remedy these problems, a hand posture recognition method using 3-D point cloud is proposed to explicitly utilize 3-D information from depth maps in this paper. Firstly, hand region is segmented by a set of depth threshold. Next, hand image normalization will be performed to ensure that the extracted feature descriptors are scale and rotation invariant. By robustly coding and pooling 3-D facets, the proposed descriptor can effectively represent the various hand postures. After that, SVM with Gaussian kernel function is used to address the issue of posture recognition. Experimental results based on posture dataset captured by Kinect sensor (from 1 to 10) demonstrate the effectiveness of the proposed approach and the average recognition rate of our method is over 96%.


Statistics

Show / Hide Statistics

Statistics (Cumulative Counts from December 1st, 2015)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article

[IEEE Style]
Wenkai Xu and Eung-Joo Lee, "A Novel Method for Hand Posture Recognition Based on Depth Information Descriptor," KSII Transactions on Internet and Information Systems, vol. 9, no. 2, pp. 763-774, 2015. DOI: 10.3837/tiis.2015.02.016

[ACM Style]
Xu, W. and Lee, E. 2015. A Novel Method for Hand Posture Recognition Based on Depth Information Descriptor. KSII Transactions on Internet and Information Systems, 9, 2, (2015), 763-774. DOI: 10.3837/tiis.2015.02.016