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General Information
    • ISSN: 2010-3719 (Online)
    • Frequency: Quarterly
    • DOI: 10.18178/IJIEE
    • Editor-in-Chief: Prof. Chandratilak De Silva Liyanage
    • Executive Editor: Jennifer Zeng
    • Abstracting/ Indexing : Google Scholar, Electronic Journals Library, Crossref and ProQuest, Ei (INSPEC, IET), EBSCO.
    • E-mail ijiee@ejournal.net
Editor-in-chief

 
University of Brunei Darussalam, Brunei Darussalam   
" It is a great honor to serve as the editor-in-chief of IJIEE. I'll work together with the editorial team. Hopefully, The value of IJIEE will be well recognized among the readers in the related field."

IJIEE 2014 Vol.4(3): 176-179 ISSN: 2010-3719
DOI: 10.7763/IJIEE.2014.V4.430

Hand Detecting and Positioning Based on Depth Image of Kinect Sensor

Van Bang Le, Anh Tu Nguyen, and Yu Zhu
Abstract— This paper presents a new method of detection and identification, called PYTHON programming environment, which can realize the gesture track recognition based on the depth image information get by the Kinect sensor. First, Kinect sensor is used to obtain depth image information. Then it extracts splith and with the official Microsoft SDK. Finally, this paper presents how to calculate the palm center’s coordinates based on the moment of hand contour feature. Experiments show that the advantages of using the hand split and gesture recognition of the Kinect’s depth image can be very effective to achieve interactive features.

Index Terms— Kinect, depth image, palm center, moment, gesture recognition.

The authors are with the East China University of Science and Technology, Shanghai, China (e-mail: banglevan@gmail.com, 378587599@qq.com, zhuyu@ecust.edu.cn; corresponding author: Yu Zhu).

[PDF]

Cite: Van Bang Le, Anh Tu Nguyen, and Yu Zhu, " Hand Detecting and Positioning Based on Depth Image of Kinect Sensor," International Journal of Information and Electronics Engineering vol. 4, no. 3, pp. 176-179, 2014.

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