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A feasibility study of ballet education using measurement and analysis on partial features of still scenesopen access

Authors
Park, So-HyunHong, Gwang-SooPark, Sun-WooNasridinov, AzizPark, In-JaKim, Byung-KyuPark, 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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공과대학 (인공지능공학부)
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