| Presentation | 2023-11-21 [Poster Presentation] An effective workout prediction system with IoT training equipment and machine learning Shoki Kishizoe, Norihiko Shinomiya, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This research aims to develop a system that predicts effective training menus considering an individual's physical condition, with the aim of preventing frailty by improving physical functions. This study uses a specific IoT training machine that can improve a function of inner muscles. However, most of the currently existing systems provide a randomly selected training menu to all users. This paper proposes a method to predict an individual's physical condition by machine learning, utilizing sensor data from the IoT training machine, so that training can be tailored to each user's individual needs. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | flail prevention / IoT training machine / machine learning |
| Paper # | SeMI2023-46 |
| Date of Issue | 2023-11-14 (SeMI) |
| Conference Information | |
| Committee | SRW / SeMI |
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| Conference Date | 2023/11/21(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Koganei Campus, Tokyo University of Agriculture and Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | IoT Workshop |
| Chair | Keiichi Mizutani(Kyoto Univ.) / Kazuya Monden(Hitachi) |
| Vice Chair | Kentaro Saito(Tokyo Denki Univ.) / Hirokazu Sawada(NICT) / Yasunori Owada(NICT) / Shunsuke Saruwatari(Osaka Univ.) |
| Secretary | Kentaro Saito(Kochi Univ, of Tech.) / Hirokazu Sawada(Niigata Univ.) / Yasunori Owada(NTT DOCOMO) / Shunsuke Saruwatari(Tokyo Univ. of Agri. and Tech.) |
| Assistant | Maki Arai(Tokyo Univ. of Science) / Yusuke Kouda(Kyoto Univ.) / Yuki Matsuda(NAIST) / Taku Suzuki(Hitachi) / Takeshi Hirai(Osaka Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Short Range Wireless Communications / Technical Committee on Sensor Network and Mobile Intelligence |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Poster Presentation] An effective workout prediction system with IoT training equipment and machine learning |
| Sub Title (in English) | |
| Keyword(1) | flail prevention |
| Keyword(2) | IoT training machine |
| Keyword(3) | machine learning |
| 1st Author's Name | Shoki Kishizoe |
| 1st Author's Affiliation | Soka University(Soka Univ.) |
| 2nd Author's Name | Norihiko Shinomiya |
| 2nd Author's Affiliation | Soka University(Soka Univ.) |
| Date | 2023-11-21 |
| Paper # | SeMI2023-46 |
| Volume (vol) | vol.123 |
| Number (no) | SeMI-276 |
| Page | pp.pp.27-30(SeMI), |
| #Pages | 4 |
| Date of Issue | 2023-11-14 (SeMI) |