| Presentation | 2021-07-14 A Coaching System for Improving Running Form using Federated Learning and Wearable Devices Takayuki Shibata, Norihiko Shinomiya, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The purpose of this study is to construct a system that automatically gives a proper training method for improving the form to runners who want to shorten their marathon times. The proposed system is supposed to analyze the data obtained from a wristwatch-type wearable device and a motion sensor. This paper proposes a method to improve the prediction accuracy while reducing the computation and communication load of data processing by using federated learning, which is a distributed machine learning method without aggregating the information related to the privacy of each runner. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Federated Learning / Machine Learning / Running Form |
| Paper # | SeMI2021-17 |
| Date of Issue | 2021-07-07 (SeMI) |
| Conference Information | |
| Committee | RCS / SR / NS / SeMI / RCC |
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| Conference Date | 2021/7/14(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Communication and Network Technology of the AI Age, M2M (Machine-to-Machine)，D2D (Device-to-Device)，IoT（Internet of Things）, etc |
| Chair | Eiji Okamoto(Nagoya Inst. of Tech.) / Suguru Kameda(Hiroshima Univ.) / Akihiro Nakao(Univ. of Tokyo) / Koji Yamamoto(Kyoto Univ.) / HUAN-BANG LI(NICT) |
| Vice Chair | Toshihiko Nishimura(Hokkaido Univ.) / Tomoya Tandai(Toshiba) / Fumihide Kojima(NICT) / Osamu Takyu(Shinshu Univ.) / Kentaro Ishidu(NICT) / Kazuto Yano(ATR) / Tetsuya Oishi(NTT) / Kazuya Monden(Hitachi) / Yasunori Owada(NICT) / Shunichi Azuma(Nagoya Univ.) / Koji Ishii(Kagawa Univ.) |
| Secretary | Toshihiko Nishimura(NEC) / Tomoya Tandai(Panasonic) / Fumihide Kojima(Mie Univ.) / Osamu Takyu(Tokai Univ.) / Kentaro Ishidu(NTT) / Kazuto Yano(NTT) / Tetsuya Oishi(Chuo Univ.) / Kazuya Monden(Cyber Univ.) / Yasunori Owada(Waseda Univ.) / Shunichi Azuma(Osaka Univ.) / Koji Ishii(CRIEPI) |
| Assistant | Koichi Adachi(Univ. of Electro-Comm.) / Osamu Nakamura(Sharp) / Manabu Sakai(Mitsubishi Electric) / Masashi Iwabuchi(NTT) / Tatsuki Okuyama(NTT DOCOMO) / Mai Ohta(Fukuoka Univ.) / Taichi Ohtsuji(NEC) / WANG Xiaoyan(Ibaraki Univ.) / Akemi Tanaka(MathWorks) / Kotaro Mihara(NTT) / Yuki Katsumata(NTT DOCOMO) / Akihito Taya(Aoyama Gakuin Univ.) / Yu Nakayama(Tokyo Univ. of Agri. and Tech.) / SHAN LIN(NICT) / Masaki Ogura(Osaka Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Radio Communication Systems / Technical Committee on Smart Radio / Technical Committee on Network Systems / Technical Committee on Sensor Network and Mobile Intelligence / Technical Committee on Reliable Communication and Control |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Coaching System for Improving Running Form using Federated Learning and Wearable Devices |
| Sub Title (in English) | |
| Keyword(1) | Federated Learning |
| Keyword(2) | Machine Learning |
| Keyword(3) | Running Form |
| 1st Author's Name | Takayuki Shibata |
| 1st Author's Affiliation | Soka University(Soka Univ.) |
| 2nd Author's Name | Norihiko Shinomiya |
| 2nd Author's Affiliation | Soka University(Soka Univ.) |
| Date | 2021-07-14 |
| Paper # | SeMI2021-17 |
| Volume (vol) | vol.121 |
| Number (no) | SeMI-105 |
| Page | pp.pp.26-28(SeMI), |
| #Pages | 3 |
| Date of Issue | 2021-07-07 (SeMI) |