[ISEA2019] Poster: Yeorim Choi, Jihyun Park, Sey Min & Jusub Kim — TransMotion: A ML-based Interactive System for Aesthetic Experience of Movements

Poster Statement

Keywords: Machine learning, Ballet, Aesthetics of Movements, Physical Self-Efficacy

Abstract

This paper proposes a machine learning based interactive system, TransMotion, that helps one to experience the aesthetic value of body movements. TransMotion recognizes the body pose of the user in real time and presents the ballet movement that appears to be triggered by the user’s pose in an immersive way. It aims to help users to discover the aesthetic values inherent in their body movements, but not recognized in everyday life. Furthermore, it aims to improve the user’s physical self-efficacy and to increase the interests in the artistic activities based on body movements.

  • Yeorim Choi, Jihyun Park, Sey Min & Jusub Kim, Department of Art & Technology, Sogang University Seoul, Korea

Full text (PDF) p. 650-651

This research was supported by the MIST (Ministry of Science ICT), Korea, under the National Program for Excellence in SW (2015-0-00910) supervised by the IITP (Institute for Information & Communications Technology Planning & Evaluation)