A feasibility study of ballet education using measurement and analysis on partial features of still scenes. (December 2016)

• Record Type: Journal Article
• Authors: Park, So-Hyun; Hong, Gwang-Soo; Park, Sun-Woo; Nasridinov, Aziz; Park, In-Ja; Kim, Byung-Kyu; Park, Young-Ho
• Is Part Of: International journal of distributed sensor networks. Volume 12:Number 12(2016)
• Publication Date: 2016-12
• Subjects: Ballet education -- Kinect -- partial feature extraction -- lower body joint point estimation -- closest foot point estimation; Sensor networks -- Periodicals; Intelligent agents (Computer software) -- Periodicals; Multisensor data fusion -- Periodicals; 681.2
• DOI: 10.1177/1550147716681794
• Languages: English
• ISSNs: 1550-1329

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.