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

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 re...

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Main Authors: So-Hyun Park, Gwang-Soo Hong, Sun-Woo Park, Aziz Nasridinov, In-Ja Park, Byung-Kyu Kim, Young-Ho Park
Format: Article
Language:English
Published: SAGE Publishing 2016-12-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1177/1550147716681794
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spelling doaj-8f1304b01f4a4c0ea6915f3fa9c7f7f42020-11-25T04:01:00ZengSAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772016-12-011210.1177/1550147716681794A feasibility study of ballet education using measurement and analysis on partial features of still scenesSo-Hyun Park0Gwang-Soo Hong1Sun-Woo Park2Aziz Nasridinov3In-Ja Park4Byung-Kyu Kim5Young-Ho Park6Department of IT Engineering, Sookmyung Women’s University, Seoul, South KoreaDepartment of Computer Engineering, Sunmoon University, Asan, South KoreaDepartment of Dance, Sookmyung Women’s University, Seoul, South KoreaDepartment of Computer Science, Chungbuk National University, Cheongju, South KoreaDepartment of Dance, Sookmyung Women’s University, Seoul, South KoreaDepartment of IT Engineering, Sookmyung Women’s University, Seoul, South KoreaDepartment of IT Engineering, Sookmyung Women’s University, Seoul, South KoreaThere 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.https://doi.org/10.1177/1550147716681794
collection DOAJ
language English
format Article
sources DOAJ
author So-Hyun Park
Gwang-Soo Hong
Sun-Woo Park
Aziz Nasridinov
In-Ja Park
Byung-Kyu Kim
Young-Ho Park
spellingShingle So-Hyun Park
Gwang-Soo Hong
Sun-Woo Park
Aziz Nasridinov
In-Ja Park
Byung-Kyu Kim
Young-Ho Park
A feasibility study of ballet education using measurement and analysis on partial features of still scenes
International Journal of Distributed Sensor Networks
author_facet So-Hyun Park
Gwang-Soo Hong
Sun-Woo Park
Aziz Nasridinov
In-Ja Park
Byung-Kyu Kim
Young-Ho Park
author_sort So-Hyun Park
title A feasibility study of ballet education using measurement and analysis on partial features of still scenes
title_short A feasibility study of ballet education using measurement and analysis on partial features of still scenes
title_full A feasibility study of ballet education using measurement and analysis on partial features of still scenes
title_fullStr A feasibility study of ballet education using measurement and analysis on partial features of still scenes
title_full_unstemmed A feasibility study of ballet education using measurement and analysis on partial features of still scenes
title_sort feasibility study of ballet education using measurement and analysis on partial features of still scenes
publisher SAGE Publishing
series International Journal of Distributed Sensor Networks
issn 1550-1477
publishDate 2016-12-01
description 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.
url https://doi.org/10.1177/1550147716681794
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