| アイテムタイプ |
学術雑誌論文 / Journal Article.(1) |
| 公開日 |
2023-10-13 |
| 書誌情報 |
en : Sensors
巻 22,
号 14,
p. 5402,
ページ数 16,
発行日 2022-07-20
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| タイトル |
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|
タイトル |
Detecting and Visualizing Stops in Dance Training by Neural Network Based on Velocity and Acceleration |
|
言語 |
en |
| 言語 |
|
|
言語 |
eng |
| キーワード |
|
|
言語 |
en |
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主題Scheme |
Other |
|
主題 |
neural network |
| キーワード |
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言語 |
en |
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主題Scheme |
Other |
|
主題 |
motion sensor |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
dance analysis |
| キーワード |
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|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
data visualization |
| 資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
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資源タイプ |
journal article |
| アクセス権 |
|
|
アクセス権 |
open access |
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アクセス権URI |
http://purl.org/coar/access_right/c_abf2 |
| 著者 |
Jin, Yuuki
鈴木, 元樹
塩谷, 浩之
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| 抄録 |
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内容記述タイプ |
Abstract |
|
内容記述 |
Various genres of dance, such as Yosakoi Soran, have contributed to the health of many people and contributed to their sense of belonging to a community. However, due to the effects of COVID-19, various face-to-face activities have been restricted and group dance practice has become difficult. Hence, there is a need to facilitate remote dance practice. In this paper, we propose a system for detecting and visualizing the very important dance motions known as stops. We measure dance movements by motion capture and calculate the features of each movement based on velocity and acceleration. Using a neural network to learn motion features, the system detects stops and visualizes them using a human-like 3D model. In an experiment using dance data, the proposed method obtained highly accurate stop detection results and demonstrated its effectiveness as an information and communication technology support for remote group dance practice. |
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言語 |
en |
| 出版者 |
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|
出版者 |
MDPI |
|
言語 |
en |
| DOI |
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|
関連タイプ |
isIdenticalTo |
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|
識別子タイプ |
DOI |
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|
関連識別子 |
10.3390/s22145402 |
| ISSN |
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収録物識別子タイプ |
EISSN |
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収録物識別子 |
1424-8220 |
| 権利 |
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|
権利情報 |
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. |
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言語 |
en |
| 著者版フラグ |
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出版タイプ |
VoR |
|
出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
sensors-22-05402.pdf (32.2 MB)
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