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A ballet posture education using IT techniques: a comparative study

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Young-Ho ParkAuthors Info & Claims

EDB '16: Proceedings of the Sixth International Conference on Emerging Databases: Technologies, Applications, and Theory

Pages 114 - 116

https://doi.org/10.1145/3007818.3007840

Published: 17 October 2016 Publication History

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Abstract

Recently, there were numerous ballet posture education systems using various IT techniques. We can divide these systems into three categories, such as wearable devices based systems; Kinect based systems; and other systems. Typically, these systems have a high accuracy of joint recognition. However, in certain cases, they outputs erroneous joint position. In this paper, we first provide a detailed overview of basic ballet postures and movements, discuss the state-of-the-art ballet posture education systems and then describe their main features, advantages and drawbacks.

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Xie MWu YChen GWang JYang S(2022)An immersive situational group learning system with body movement and emotion recognition combined with subject knowledge2022 International Conference on Advanced Learning Technologies (ICALT)10.1109/ICALT55010.2022.00094(292-296)Online publication date: Jul-2022
https://doi.org/10.1109/ICALT55010.2022.00094
Fourie Mvan der Haar D(2020)Computer Vision for the Ballet Industry: A Comparative Study of Methods for Pose RecognitionBusiness Information Systems10.1007/978-3-030-53337-3_9(118-129)Online publication date: 22-Jul-2020
https://doi.org/10.1007/978-3-030-53337-3_9
Raheb KStergiou MKatifori AIoannidis Y(2019)Dance Interactive Learning SystemsACM Computing Surveys10.1145/332333552:3(1-37)Online publication date: 18-Jun-2019
https://dl.acm.org/doi/10.1145/3323335
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Published In

EDB '16: Proceedings of the Sixth International Conference on Emerging Databases: Technologies, Applications, and Theory

October 2016

183 pages

ISBN:9781450347549

DOI:10.1145/3007818

General Chairs:
Jinho Kim,
Young-Kuk Kim,
James Geller,
Program Chairs:
Wonik Choi,
Carson K. Leung,
Young-Ho Park

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Published: 17 October 2016

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EDB: 2016 International Conference on Emerging Databases

October 17 - 19, 2016

Jeju, Republic of Korea

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Xie MWu YChen GWang JYang S(2022)An immersive situational group learning system with body movement and emotion recognition combined with subject knowledge2022 International Conference on Advanced Learning Technologies (ICALT)10.1109/ICALT55010.2022.00094(292-296)Online publication date: Jul-2022
https://doi.org/10.1109/ICALT55010.2022.00094
Fourie Mvan der Haar D(2020)Computer Vision for the Ballet Industry: A Comparative Study of Methods for Pose RecognitionBusiness Information Systems10.1007/978-3-030-53337-3_9(118-129)Online publication date: 22-Jul-2020
https://doi.org/10.1007/978-3-030-53337-3_9
Raheb KStergiou MKatifori AIoannidis Y(2019)Dance Interactive Learning SystemsACM Computing Surveys10.1145/332333552:3(1-37)Online publication date: 18-Jun-2019
https://dl.acm.org/doi/10.1145/3323335
Fourie Mvan der Haar D(2018)Ballet Pose Recognition: A Bag-of-Words Support Vector Machine Model for the Dance Training EnvironmentInformation Science and Applications 201810.1007/978-981-13-1056-0_33(317-325)Online publication date: 24-Jul-2018
https://doi.org/10.1007/978-981-13-1056-0_33

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Posture and Mechanical Load Assessment During Patient Transfers

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