• Aug 09, 2018 News![CFP] The annual meeting of IJFCC Editorial Board, ICCTD 2019, will be held in Prague, Czech Republic during March 2-4, 2019.   [Click]
  • Aug 09, 2018 News!IJFCC Vol. 6, No. 1-No. 3 has been indexed by EI (Inspec).   [Click]
  • Dec 24, 2018 News!The papers published in Vol.7, No.1-No.2 have all received dois from Crossref.
General Information
    • ISSN: 2010-3751
    • Frequency: Bimonthly (2012-2016); Quarterly (Since 2017)
    • DOI: 10.18178/IJFCC
    • Editor-in-Chief: Prof. Mohamed Othman
    • Executive Editor: Ms. Cherry L. Chan
    • Abstracting/ Indexing: Google Scholar,  Crossref, Electronic Journals LibraryEI (INSPEC, IET), etc.
    • E-mail:  ijfcc@ejournal.net 
Prof. Mohamed Othman
Department of Communication Technology and Network Universiti Putra Malaysia, Malaysia
It is my honor to be the editor-in-chief of IJFCC. The journal publishes good papers in the field of future computer and communication. Hopefully, IJFCC will become a recognized journal among the readers in the filed of future computer and communication.
IJFCC 2015 Vol.4(1): 45-49 ISSN: 2010-3751
DOI: 10.7763/IJFCC.2015.V4.353

Dance Experience System Using Multiple Kinects

Seongmin Baek and Myunggyu Kim
Abstract—We present a new method for comparing users’ motions captured in real time by multiple Kinect sensors with an expert’s movements stored in a DB so as to help users experience and learn how to dance. Recently, lots of experience games where users copy some motions to score have been developed. However, it is difficult to collect users’ joint data or to clearly compare movements with one sensor because of blocked body parts and unsuccessful tracking. Therefore, such games cannot be applicable to learning beyond simple in-game experiences. As an alternative, this study proposes a method for using multiple Kinect sensors to combine skeletal data and thus to retrieve motions. Also, we propose a method for directly comparing postures between characters of different body sizes. The direct comparison of postures ensures accuracy as no motion is adapted in the process. The proposed dance experience learning system is suitable for learning how to dance as it is easy to implement, features real-time posture comparison and displays the results of important body parts compared.

Index Terms—Experience, motion capture, multiple kinects, posture comparison.

The authors are with Visual Contents Research Department, Electronics and Telecommunications Research Institute, Daejeon, Korea (e-mail: {baeksm, mgkim}@etri.re.kr).


Cite: Seongmin Baek and Myunggyu Kim, "Dance Experience System Using Multiple Kinects," International Journal of Future Computer and Communication vol. 4, no. 1, pp. 45-49, 2015.

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