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J-GLOBAL ID：202402238700515913   Reference number：24A0212952

Fitness Movement Types and Completeness Detection Using a Transfer-Learning-Based Deep Neural Network

転送学習ベース深層ニューラルネットワークを用いた適応度移動型と完全性検出【JST・京大機械翻訳】

Author (7)： Chen Kuan-Yu (School of Computer Science and Engineering, The University of Aizu Fukushima, Aizuwakamatsu 9658580, Japan) ,  Chen Kuan-Yu (Department of Information and Communication Engineering, Chaoyang University of Technology Taichung, Taichung 41349, Taiwan) ,  Shin Jungpil (School of Computer Science and Engineering, The University of Aizu Fukushima, Aizuwakamatsu 9658580, Japan) ,  Hasan Md. Al Mehedi (School of Computer Science and Engineering, The University of Aizu Fukushima, Aizuwakamatsu 9658580, Japan) ,  Liaw Jiun-Jian (Department of Information and Communication Engineering, Chaoyang University of Technology Taichung, Taichung 41349, Taiwan) ,  Yuichi Okuyama (School of Computer Science and Engineering, The University of Aizu Fukushima, Aizuwakamatsu 9658580, Japan) ,  Tomioka Yoichi (School of Computer Science and Engineering, The University of Aizu Fukushima, Aizuwakamatsu 9658580, Japan)
Material： Sensors (Web)
Volume： 22  Issue： 15  Page： 5700  Publication year： 2022 
JST Material Number： U7015A  ISSN： 1424-8220  CODEN： SENSC9  Document type： Article
Article type： 原著論文  Country of issue： Switzerland (CHE)  Language： ENGLISH (EN)

Abstract/Point： Fitness is important in people...

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Thesaurus term： detection ,  *learning ,  database ,  motion ,  accuracy ,  image processing ,  one dimension ,  deep layer ,  machine learning
Semi thesaurus term： ウェアラブルデバイス ,  学習能力 ,  死亡リスク ,  ソーシャルメディア ,  深層学習 ,  *ディープニューラルネットワーク , 【Automatic Indexing@JST】

Author keywords (8)： deep transfer learning ,  Yolov4 ,  Mediapipe ,  machine learning ,  fitness detection ,  pose detection ,  image processing ,  deep neural network

JST classification (3)： Graphic and image processing in general  (JE04010I) ,  Artificial intelligence  (JE08000Z) ,  Pattern recognition  (JE07000S)

Reference (34)：

• Kaminsky, L.A.; Arena, R.; Ellingsen, Ø.; Harber, M.P.; Myers, J.; Ozemek, C.; Ross, R. Cardiorespiratory fitness and cardiovascular disease-the past, present, and future. Prog. Cardiovasc. Dis. 2019, 62, 86-93.
• Myers, J.; Kokkinos, P.; Nyelin, E. Physical activity, cardiorespiratory fitness, and the metabolic syndrome. Nutrients 2019, 11, 1652.
• Censin, J.C.; Peters, S.A.; Bovijn, J.; Ferreira, T.; Pulit, S.L.; Mägi, R.; Mahajan, A.; Holmes, M.V.; Lindgren, C.M. Causal relationships between obesity and the leading causes of death in women and men. PLoS Genet. 2019, 15, e1008405.
• Walter, R. Thompson Worldwide survey of fitness trends for 2019. ACSM’s Health Fit. J. 2019, 22, 10-17.
• Nyenhuis, S.M.; Greiwe, J.; Zeiger, J.S.; Nanda, A.; Cooke, A. Exercise and fitness in the age of social distancing during the COVID-19 pandemic. J. Allergy Clin. Immunol. Pract. 2020, 8, 2152-2155.

Terms in the title (6)： 転送 ,  学習 ,  深層ニューラルネットワーク ,  適応度 ,  移動型 ,  完全性