| Presentation | 2023-12-21 Badminton Rally Analysis Using LSTM Atsushi Yoshinaga, Masato Kiyama, Motoki Amagasaki, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this study, we analyze badminton rallies as a tactical support technology for sports using AI. In badminton, it is required to capture trends in tactics frequently used by specific players and trends in tactics that change depending on matches and opponents. In order to capture such trends, it is necessary to extract tactical characteristics of each rally and compare rallies appropriately. Therefore, this research was conducted to extract the features of badminton rallies, taking into account the positional coordinates of players, shot types and interactions. In this study, we took the approach of training an LSTM-based AutoEncoder and using it as a feature extractor for rallies. The feature vectors extracted by this approach were used to perform cluster analysis of top players’ game data. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Deep Learning / LSTM / Data Mining / Sports Data / Clustering |
| Paper # | IBISML2023-35 |
| Date of Issue | 2023-12-13 (IBISML) |
| Conference Information | |
| Committee | IBISML |
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| Conference Date | 2023/12/20(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | National Institute of Informatics |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | machine learning, etc. |
| Chair | Masashi Sugiyama(Univ. of Tokyo) |
| Vice Chair | Toshihiro Kamishima(AIST) / Koji Tsuda(Univ. of Tokyo) |
| Secretary | Toshihiro Kamishima(NTT) / Koji Tsuda(Hokkaido Univ.) |
| Assistant | Yoshinobu Kawahara(Osaka Univ.) / Taiji Suzuki(Univ.of Tokyo) |
| Paper Information | |
| Registration To | Technical Committee on Information-Based Induction Sciences and Machine Learning |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Badminton Rally Analysis Using LSTM |
| Sub Title (in English) | |
| Keyword(1) | Deep Learning |
| Keyword(2) | LSTM |
| Keyword(3) | Data Mining |
| Keyword(4) | Sports Data |
| Keyword(5) | Clustering |
| 1st Author's Name | Atsushi Yoshinaga |
| 1st Author's Affiliation | Kumamoto University(Kumamoto Univ.) |
| 2nd Author's Name | Masato Kiyama |
| 2nd Author's Affiliation | Kumamoto University(Kumamoto Univ.) |
| 3rd Author's Name | Motoki Amagasaki |
| 3rd Author's Affiliation | Kumamoto University(Kumamoto Univ.) |
| Date | 2023-12-21 |
| Paper # | IBISML2023-35 |
| Volume (vol) | vol.123 |
| Number (no) | IBISML-311 |
| Page | pp.pp.31-36(IBISML), |
| #Pages | 6 |
| Date of Issue | 2023-12-13 (IBISML) |