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A combined method of skin-and depth-based hand gesture recognition
Joint Authors
Sokhib, Tukhtaev
Whangbo, Taeg Keun
Source
The International Arab Journal of Information Technology
Issue
Vol. 17, Issue 1 (31 Jan. 2020), pp.137-145, 9 p.
Publisher
Zarqa University Deanship of Scientific Research
Publication Date
2020-01-31
Country of Publication
Jordan
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
Kinect is a promising acquisition device that provides useful information on a scene through color and depth data.
There has been a keen interest in utilizing Kinect in many computer vision areas such as gesture recognition.
Given the advantages that Kinect provides, hand gesture recognition can be deployed efficiently with minor drawbacks.
This paper proposes a simple and yet efficient way of hand gesture recognition via segmenting a hand region from both color and depth data acquired by Kinect v1.
The Inception model of the image recognition system is used to check the reliability of the proposed method.
Experimental results are derived from a sample dataset of Microsoft Kinect hand acquisitions.
Under the appropriate conditions, it is possible to achieve high accuracy in close to real time.
American Psychological Association (APA)
Sokhib, Tukhtaev& Whangbo, Taeg Keun. 2020. A combined method of skin-and depth-based hand gesture recognition. The International Arab Journal of Information Technology،Vol. 17, no. 1, pp.137-145.
https://search.emarefa.net/detail/BIM-956464
Modern Language Association (MLA)
Sokhib, Tukhtaev& Whangbo, Taeg Keun. A combined method of skin-and depth-based hand gesture recognition. The International Arab Journal of Information Technology Vol. 17, no. 1 (Jan. 2020), pp.137-145.
https://search.emarefa.net/detail/BIM-956464
American Medical Association (AMA)
Sokhib, Tukhtaev& Whangbo, Taeg Keun. A combined method of skin-and depth-based hand gesture recognition. The International Arab Journal of Information Technology. 2020. Vol. 17, no. 1, pp.137-145.
https://search.emarefa.net/detail/BIM-956464
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 143-145
Record ID
BIM-956464