Research on the Application of Motion Capture of Kinect Technology in the Sport Training

Quan Wei Shi

doi:10.4028/www.scientific.net/AMR.926-930.2714

Paper Titles

Research on Design of Collection and Intellectual Analysis System of Technical and Tactical Information in Basketball Matches
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Research on Impact of the Internet on the Dissemination of Sports Culture
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Research on Multimedia Sports Humanistic Information Systems
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Research on the Application of Information Technology in Computer Musical Creation
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Research on the Application of Motion Capture of Kinect Technology in the Sport Training
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Research on the Application of Video-Feedback Method in Volleyball Training
p.2718

Research on the Impact of Modern Network Technology on Sports Culture Dissemination
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Research on WebGIS-Based Sport Games Information System
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Residents’ Traveling Track and Analysis Methods Based on Mobile Phone Data
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 926-930Research on the Application of Motion Capture of...

Research on the Application of Motion Capture of Kinect Technology in the Sport Training

Abstract:

For the real-time motion capture in the sport training to analysis and study, this paper adopts Kinect technology and the development of sports training combined with. Kinect somatosensory the camera as the system core, the body movements, facial expressions capture system in development costs, operating results and the development efficiency has the optimal balance point. The purpose of this research is based on the OGRE graphics rendering engine, using 3DSMAX and open source code, the design and implementation of Kinect somatosensory camera and 3DSMAX, OGRE combination of game action, motion capture system based on. This system provides an important help for realizing the real-time motion capture in the sports training, can be used in the field of sports training.

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Periodical:

Advanced Materials Research (Volumes 926-930)

Pages:

2714-2717

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.926-930.2714

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Online since:

May 2014

Authors:

Quan Wei Shi

Keywords:

3D Body, 3D Graphics Engine, Facial Expressions, KINECT, Real-Time Motion Capture, Sport Training

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References

[1] J. Jones: Computer Applications Digest, Vol. 12 (2011). 3, p.23.

Google Scholar

[2] R. Fleming: Motion Capture Tutorials, Vol. 21 (2012). 5, p.72.

Google Scholar

[3] Information on http: / tjgame. big5. enorth. com. cn /system/2011 /01 /08 /005543571. shtml.

Google Scholar

[4] X.S. Chen: Stellate Skeleton Human Action Automatically Recognize (MS., Institute of Information Science and Engineering National Chiao Tung University, China 2009), p.12.

Google Scholar

[5] N. Chen: Tracking Human Simple Exercise Multi-camera Model Contrast Visual System (MS., Department of Computer Science and Information Engineering National Chiao Tung University, China 2004), p.23.

Google Scholar

[6] P.Y. Sugizo: Microsoft Kinect, Vol. 17 (2005). 5, p.111.

Google Scholar

[7] Z. Wikipedia: PrimeSense Wikipedia, Vol. 20 (2010). 2, p.146.

Google Scholar

[8] Information on http: / www. soomal. com/doc /10100001819 . htm.

Google Scholar

[9] N. Eaton: Motion Control Patent Approved, Vol. 11 (2011). 3, p.43.

Google Scholar

[10] N. Eaton: The Complex Scene and Scene Management, Vol. 11 (2011). 3, p.43.

Google Scholar