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Kinect-Based Vision System of Mine Rescue Robot for Low Illuminous Environment
Joint Authors
Shang, Wanfeng
Cao, Xiangang
Ma, Hongwei
Zang, Hailong
Wei, Pengkang
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-11-10
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
This paper presents Kinect-based vision system of mine rescue robot working in illuminous underground environment.
The somatosensory system of Kinect is used to realize the hand gesture recognition involving static hand gesture and action.
A K-curvature based convex detection method is proposed to fit the hand contour with polygon.
In addition, the hand action is completed by using the NiTE library with the framework of hand gesture recognition.
In addition, the proposed method is compared with BP neural network and template matching.
Furthermore, taking advantage of the information of the depth map, the interface of hand gesture recognition is established for human machine interaction of rescue robot.
Experimental results verify the effectiveness of Kinect-based vision system as a feasible and alternative technology for HMI of mine rescue robot.
American Psychological Association (APA)
Shang, Wanfeng& Cao, Xiangang& Ma, Hongwei& Zang, Hailong& Wei, Pengkang. 2015. Kinect-Based Vision System of Mine Rescue Robot for Low Illuminous Environment. Journal of Sensors،Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1110638
Modern Language Association (MLA)
Shang, Wanfeng…[et al.]. Kinect-Based Vision System of Mine Rescue Robot for Low Illuminous Environment. Journal of Sensors No. 2016 (2016), pp.1-9.
https://search.emarefa.net/detail/BIM-1110638
American Medical Association (AMA)
Shang, Wanfeng& Cao, Xiangang& Ma, Hongwei& Zang, Hailong& Wei, Pengkang. Kinect-Based Vision System of Mine Rescue Robot for Low Illuminous Environment. Journal of Sensors. 2015. Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1110638
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1110638