TransMotion: 신체적 자기효능감 향상을 도와주는 머신러닝 기반의 발레체험 시스템에 관한 연구

목차 (Table of Contents)

• 요약
• Abstract
• Ⅰ. 서론
• Ⅱ. 관련 연구
• Ⅲ. 머신러닝 기반의 발레체험 시스템
• Ⅳ. 실험 방법
• Ⅴ. 실험 결과
• Ⅵ. 논의
• Ⅶ. 결과
• 참고문헌

참고문헌 (Reference)

1 이선, "신체감과 신체적 경험의 문화예술교육적 가치" 교육연구소 21 (21): 349-369, 2015

2 문영, "무용수행능력 검사 개발" 한국무용교육학회 23 (23): 195-212, 2012

3 신상미, "무용과 인공지능 융합예술 연구- 윌리엄 포사이드의 <재생된 하나의 평면에 대한 동기 오브제>를 중심으로" 한국예술연구소 (16) : 53-75, 2017

4 D. Franke, "Unnamed soundsclpture"

5 Y. J. Oh, "The study of Aesthetic value in dance –art" 32 (32): 1077-1083, 1993

6 C. Milk, "The Treachert of Sanctuary"

7 B. T. Jang, "The Foundation and Nature of Artificial Intelligence Technology" 1-, 2016

8 A. Samuel, "Some Studies in Machine Learning Using the Game of Checkers" 3 (3): 210-229, 1959

9 A. Bandura, "Self-efficact : Toward a unifying Theory of behavioral change" 84 : 191-215, 1977

10 A. H. .Baumgardner, "Regulating affect interpersonally: When low esteem leads to greater enhancement" 56 (56): 907-921, 1989

11 M. Ponty, "Phenomenology and Art" Sekwangsa Press 178-, 1989

12 D. H. Schunk, "Peer models : Influence on Children’s self-efficact and achievemet" 77 : 313-322, 1985

13 N. R. Jung, "Nietzsche's body, art physiology and modern dance(XII)" The DancePost Korea

14 J. Friedhoff, "Move Mirror: An AI Experiment with Pose Estimation in the Browser using TensorFlow.js" Google Creative Lab, A Medium Corporation

15 M. Jacob, "Interaction-based Authoring for Scalable Co-creative Agent" 2015

16 NOTA BENE Visual, "In order to control"

17 L. C. Friis, "Generative Choreography using Deep Learning" 2016

18 C. Chan, "Everybody Dance Now" UC Berkeley

19 S. O. Hong, "Effects of Exercise Participation on Physical Self-Effectiveness and Change of Gender Role Types" Busan University Graduate School 1996

20 R. M. Ryckman, "Development and validation of a physical self-efficacy scale" 2 (2): 891-900, 1982

21 M. Heidegger, "Being and Time" SCM Press 375-, 1962

22 J. Dewey, "Art as Exprience" Capricon book 3-, 1958