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      베니시 동작 표기법을 이용한 키포즈 기반 발레 아카이빙 방법 연구 = Key Pose-Based Ballet Scoring Using Benesh Movement Notation System

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      https://www.riss.kr/link?id=A102167398

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      다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

      Extracting key frame in the animation is crucial for archiving, retrieving, and also for making more optical posture or movement of the character. In this sense, extracting key frames of ballet works is critical to abstract the main points of ballet story and motion information. Ballet is composed of very artistic and scientific movement based on limb actions: extension, flexion, rotation and abduction. Thus, it is meaningful to focus on the ballet specialized method and to develop more appropriate way to inform the ballet movement information. This paper addresses new approaches to find a ballet specialized key frame using ballet key poses and the ballet notation system: Benesh Movement Notation system, and also speculates an effective way to present them in the end. To extract ballet key poses, 168 poses are selected by the Vaganova technique. 168 postures, including basic ballet pose: 5 feet and 3 arm poses are selected and all of these poses are exported to bvh file format by the DanceForms software. These selected 168 poses are then considered as input data to compare ballet key poses in real ballet works(1309 frames). To make a graphic readable platform to change 168 ballet key poses into numerical format, Benech movement notation principles are applied. BMN puts the human body on five staves followed by head, shoulder, waist, knee, and foot levels. Consequently, each pose is expressed as relative joint coordinates in that BMN grid is a mathematical understructure to calculate relative joint position. To extract the main key frames in the whole sequence, the Euclidean Distance was used to calculate the pose similarity distance between original ballet key poses and poses in 1309 frames, and the results were presented as musical score type bye the DanceForms, in the end. Consequently, this paper shows the key pose-based scoring using ballet notation system is efficient to catch the ballet points, in the end.
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      Extracting key frame in the animation is crucial for archiving, retrieving, and also for making more optical posture or movement of the character. In this sense, extracting key frames of ballet works is critical to abstract the main points of ballet s...

      Extracting key frame in the animation is crucial for archiving, retrieving, and also for making more optical posture or movement of the character. In this sense, extracting key frames of ballet works is critical to abstract the main points of ballet story and motion information. Ballet is composed of very artistic and scientific movement based on limb actions: extension, flexion, rotation and abduction. Thus, it is meaningful to focus on the ballet specialized method and to develop more appropriate way to inform the ballet movement information. This paper addresses new approaches to find a ballet specialized key frame using ballet key poses and the ballet notation system: Benesh Movement Notation system, and also speculates an effective way to present them in the end. To extract ballet key poses, 168 poses are selected by the Vaganova technique. 168 postures, including basic ballet pose: 5 feet and 3 arm poses are selected and all of these poses are exported to bvh file format by the DanceForms software. These selected 168 poses are then considered as input data to compare ballet key poses in real ballet works(1309 frames). To make a graphic readable platform to change 168 ballet key poses into numerical format, Benech movement notation principles are applied. BMN puts the human body on five staves followed by head, shoulder, waist, knee, and foot levels. Consequently, each pose is expressed as relative joint coordinates in that BMN grid is a mathematical understructure to calculate relative joint position. To extract the main key frames in the whole sequence, the Euclidean Distance was used to calculate the pose similarity distance between original ballet key poses and poses in 1309 frames, and the results were presented as musical score type bye the DanceForms, in the end. Consequently, this paper shows the key pose-based scoring using ballet notation system is efficient to catch the ballet points, in the end.

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      참고문헌 (Reference)

      1 Kember, P. A., "The Benesh Movement Notation used to Study Sitting Behaviour" 133-136, 1976

      2 Campbell, L.W., "Recognition of Human Body Motion using Phase Space Constraints. Computer Vision" 624-630, 1995

      3 Neagle, R. J., "Notation and 3D Animation of Dance Movement" International Computer Music Association 2002

      4 McGuiness-Scott, J., "Movement Study and Benesh Movement Notation" Oxford University Press 1983

      5 Truong, A., "Laban Descriptors for Gesture Recognition and Emotional Analysis" 32 (32): 83-98, 2015

      6 Chen, H., "Generating Labanotation from Motion Capture Data" 222-223, 2013

      7 Choensawat, W., "GenLaban: A Tool for Generating Labanotation from Motion Capture Data" 74 (74): 10823-10846, 2014

      8 Neagle, R. J., "Developing a Virtual Ballet Dancer to Visualize Choreography. Computing" 86-97, 2004

      9 Brown, Ann K., "Dance Notation for Beginners: Labanotation/ Benesh Movement Notation" Dance Books 1984

      10 Hachimura, K., "Analysis and Evaluation of Dancing Movement based on LMA" 294-299, 2005

      1 Kember, P. A., "The Benesh Movement Notation used to Study Sitting Behaviour" 133-136, 1976

      2 Campbell, L.W., "Recognition of Human Body Motion using Phase Space Constraints. Computer Vision" 624-630, 1995

      3 Neagle, R. J., "Notation and 3D Animation of Dance Movement" International Computer Music Association 2002

      4 McGuiness-Scott, J., "Movement Study and Benesh Movement Notation" Oxford University Press 1983

      5 Truong, A., "Laban Descriptors for Gesture Recognition and Emotional Analysis" 32 (32): 83-98, 2015

      6 Chen, H., "Generating Labanotation from Motion Capture Data" 222-223, 2013

      7 Choensawat, W., "GenLaban: A Tool for Generating Labanotation from Motion Capture Data" 74 (74): 10823-10846, 2014

      8 Neagle, R. J., "Developing a Virtual Ballet Dancer to Visualize Choreography. Computing" 86-97, 2004

      9 Brown, Ann K., "Dance Notation for Beginners: Labanotation/ Benesh Movement Notation" Dance Books 1984

      10 Hachimura, K., "Analysis and Evaluation of Dancing Movement based on LMA" 294-299, 2005

      11 Ryman, R., "A Computerized Editor of Benesh Movement Notation" 16 (16): 27-34, 1984

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      학술지 이력

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      연월일 이력구분 이력상세 등재구분
      2026 평가예정 재인증평가 신청대상 (재인증)
      2020-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2017-01-01 평가 등재학술지 유지 (계속평가) KCI등재
      2013-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2012-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2011-01-01 평가 등재후보 1차 FAIL (등재후보1차) KCI등재후보
      2010-04-02 학술지명변경 한글명 : 한국 무용과학회지 -> 한국무용과학회지 KCI등재후보
      2010-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2009-01-01 평가 신청제한 (등재후보1차) KCI등재후보
      2008-01-01 평가 등재후보 1차 FAIL (등재후보1차) KCI등재후보
      2007-01-01 평가 등재후보학술지 유지 (등재후보1차) KCI등재후보
      2005-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 1.2 1.2 1.23
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      1.2 1.18 1.151 0.4
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