Title | ||
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A Feasibility Study Of Ballet Education Using Measurement And Analysis On Partial Features Of Still Scenes |
Abstract | ||
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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. |
Year | DOI | Venue |
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2016 | 10.1177/1550147716681794 | INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS |
Keywords | Field | DocType |
Ballet education, Kinect, partial feature extraction, lower body joint point estimation, closest foot point estimation | Point estimation,Computer vision,Dance,Ballet,Computer science,Artificial intelligence,Turnout | Journal |
Volume | Issue | ISSN |
12 | 12 | 1550-1477 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
7 |
Name | Order | Citations | PageRank |
---|---|---|---|
So-Hyun Park | 1 | 0 | 1.35 |
Gwang-Soo Hong | 2 | 21 | 5.53 |
Sun-Woo Park | 3 | 0 | 0.68 |
Aziz Nasridinov | 4 | 49 | 14.32 |
Injae Park | 5 | 0 | 0.34 |
Byungkyu Kim | 6 | 190 | 35.93 |
Young-Ho Park | 7 | 46 | 7.94 |