A feasibility study of ballet education using measurement and analysis on partial features of still scenesopen access
- Authors
- Park, So-Hyun; Hong, Gwang-Soo; Park, Sun-Woo; Nasridinov, Aziz; Park, In-Ja; Kim, Byung-Kyu; Park, Young-Ho
- Issue Date
- Dec-2016
- Publisher
- SAGE PUBLICATIONS INC
- Keywords
- Ballet education; Kinect; partial feature extraction; lower body joint point estimation; closest foot point estimation
- Citation
- INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, v.12, no.12
- Journal Title
- INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS
- Volume
- 12
- Number
- 12
- URI
- https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/9341
- DOI
- 10.1177/1550147716681794
- ISSN
- 1550-1329
1550-1477
- Abstract
- There have been a number of dance and ballet education systems using different multimedia devices. One of the well-known multimedia devices is Kinect which uses multiple built-in sensors. We focus on Kinect-based dance and ballet education systems. Existing systems that use Kinect cannot properly recognize the turnout movement. We propose the use of a lower body joint point estimation algorithm and a closest foot points estimation algorithm that can efficiently perform image localization for recognition of basic ballet movements. In addition, in order to evaluate correct ballet movements, we propose a method that extracts partial features from still scenes and performs measurements for knee and foot positions. The proposed method is the first ballet education system that properly measures movements of a ballet dancer.
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