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Using automatic generation of Labanotation to protect folk dance.

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Title: Using automatic generation of Labanotation to protect folk dance.
Authors: Jiaji Wang1 12112069@bjtu.edu.cn, Zhenjiang Miao1, Hao Guo2, Ziming Zhou1, Hao Wu3
Source: Journal of Electronic Imaging. Jan/Feb2017, Vol. 26 Issue 1, p1-18. 18p.
Subjects: Labanotation, Folk dancing, Dance music, Performing arts, Motion capture (Human mechanics)
Abstract: Labanotation uses symbols to describe human motion and is an effective means of protecting folk dance. We use motion capture data to automatically generate Labanotation. First, we convert the motion capture data of the biovision hierarchy file into three-dimensional coordinate data. Second, we divide human motion into element movements. Finally, we analyze each movement and find the corresponding notation. Our work has been supervised by an expert in Labanotation to ensure the correctness of the results. At present, the work deals with a subset of symbols in Labanotation that correspond to several basic movements. Labanotation contains many symbols and several new symbols may be introduced for improvement in the future. We will refine our work to handle more symbols. The automatic generation of Labanotation can greatly improve the work efficiency of documenting movements. Thus, our work will significantly contribute to the protection of folk dance and other action arts. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Electronic Imaging is the property of SPIE - International Society of Optical Engineering and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
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PubType: Academic Journal
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  Data: Using automatic generation of Labanotation to protect folk dance.
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  Data: <searchLink fieldCode="AR" term="%22Jiaji+Wang%22">Jiaji Wang</searchLink><relatesTo>1</relatesTo><i> 12112069@bjtu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Zhenjiang+Miao%22">Zhenjiang Miao</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Hao+Guo%22">Hao Guo</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Ziming+Zhou%22">Ziming Zhou</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Hao+Wu%22">Hao Wu</searchLink><relatesTo>3</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Electronic+Imaging%22">Journal of Electronic Imaging</searchLink>. Jan/Feb2017, Vol. 26 Issue 1, p1-18. 18p.
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  Data: <searchLink fieldCode="DE" term="%22Labanotation%22">Labanotation</searchLink><br /><searchLink fieldCode="DE" term="%22Folk+dancing%22">Folk dancing</searchLink><br /><searchLink fieldCode="DE" term="%22Dance+music%22">Dance music</searchLink><br /><searchLink fieldCode="DE" term="%22Performing+arts%22">Performing arts</searchLink><br /><searchLink fieldCode="DE" term="%22Motion+capture+%28Human+mechanics%29%22">Motion capture (Human mechanics)</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Labanotation uses symbols to describe human motion and is an effective means of protecting folk dance. We use motion capture data to automatically generate Labanotation. First, we convert the motion capture data of the biovision hierarchy file into three-dimensional coordinate data. Second, we divide human motion into element movements. Finally, we analyze each movement and find the corresponding notation. Our work has been supervised by an expert in Labanotation to ensure the correctness of the results. At present, the work deals with a subset of symbols in Labanotation that correspond to several basic movements. Labanotation contains many symbols and several new symbols may be introduced for improvement in the future. We will refine our work to handle more symbols. The automatic generation of Labanotation can greatly improve the work efficiency of documenting movements. Thus, our work will significantly contribute to the protection of folk dance and other action arts. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Electronic Imaging is the property of SPIE - International Society of Optical Engineering and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=121982592
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1117/1.JEI.26.1.011028
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      – Code: eng
        Text: English
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        PageCount: 18
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      – SubjectFull: Labanotation
        Type: general
      – SubjectFull: Folk dancing
        Type: general
      – SubjectFull: Dance music
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      – SubjectFull: Performing arts
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      – SubjectFull: Motion capture (Human mechanics)
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            – D: 01
              M: 01
              Text: Jan/Feb2017
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              Y: 2017
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