Future Prediction of Shuttlecock Trajectory in Badminton Using Player’s Information
Video analysis has become an essential aspect of net sports, such as badminton. Accurately predicting the future trajectory of balls and shuttlecocks can significantly benefit players by enhancing their performance and enabling them to devise effective game strategies. This paper aims to analyze dat...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-05-01
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| Series: | Journal of Imaging |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2313-433X/9/5/99 |
| _version_ | 1797599604628258816 |
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| author | Yuka Nokihara Ryo Hachiuma Ryosuke Hori Hideo Saito |
| author_facet | Yuka Nokihara Ryo Hachiuma Ryosuke Hori Hideo Saito |
| author_sort | Yuka Nokihara |
| collection | DOAJ |
| description | Video analysis has become an essential aspect of net sports, such as badminton. Accurately predicting the future trajectory of balls and shuttlecocks can significantly benefit players by enhancing their performance and enabling them to devise effective game strategies. This paper aims to analyze data to provide players with an advantage in the fast-paced rallies of badminton matches. The paper delves into the innovative task of predicting future shuttlecock trajectories in badminton match videos and presents a method that takes into account both the shuttlecock position and the positions and postures of the players. In the experiments, players were extracted from the match video, their postures were analyzed, and a time-series model was trained. The results indicate that the proposed method improved accuracy by 13% compared to methods that solely used shuttlecock position information as input, and by 8.4% compared to methods that employed both shuttlecock and player position information as input. |
| first_indexed | 2024-03-11T03:36:38Z |
| format | Article |
| id | doaj.art-9b7b48a3f33246e586ef5b5ef88623e6 |
| institution | Directory Open Access Journal |
| issn | 2313-433X |
| language | English |
| last_indexed | 2024-03-11T03:36:38Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Imaging |
| spelling | doaj.art-9b7b48a3f33246e586ef5b5ef88623e62023-11-18T01:57:31ZengMDPI AGJournal of Imaging2313-433X2023-05-01959910.3390/jimaging9050099Future Prediction of Shuttlecock Trajectory in Badminton Using Player’s InformationYuka Nokihara0Ryo Hachiuma1Ryosuke Hori2Hideo Saito3Graduate School of Science and Technology, Keio University, Yokohama 223-8852, JapanGraduate School of Science and Technology, Keio University, Yokohama 223-8852, JapanGraduate School of Science and Technology, Keio University, Yokohama 223-8852, JapanGraduate School of Science and Technology, Keio University, Yokohama 223-8852, JapanVideo analysis has become an essential aspect of net sports, such as badminton. Accurately predicting the future trajectory of balls and shuttlecocks can significantly benefit players by enhancing their performance and enabling them to devise effective game strategies. This paper aims to analyze data to provide players with an advantage in the fast-paced rallies of badminton matches. The paper delves into the innovative task of predicting future shuttlecock trajectories in badminton match videos and presents a method that takes into account both the shuttlecock position and the positions and postures of the players. In the experiments, players were extracted from the match video, their postures were analyzed, and a time-series model was trained. The results indicate that the proposed method improved accuracy by 13% compared to methods that solely used shuttlecock position information as input, and by 8.4% compared to methods that employed both shuttlecock and player position information as input.https://www.mdpi.com/2313-433X/9/5/99trajectory predictionsports analysistime-series model |
| spellingShingle | Yuka Nokihara Ryo Hachiuma Ryosuke Hori Hideo Saito Future Prediction of Shuttlecock Trajectory in Badminton Using Player’s Information Journal of Imaging trajectory prediction sports analysis time-series model |
| title | Future Prediction of Shuttlecock Trajectory in Badminton Using Player’s Information |
| title_full | Future Prediction of Shuttlecock Trajectory in Badminton Using Player’s Information |
| title_fullStr | Future Prediction of Shuttlecock Trajectory in Badminton Using Player’s Information |
| title_full_unstemmed | Future Prediction of Shuttlecock Trajectory in Badminton Using Player’s Information |
| title_short | Future Prediction of Shuttlecock Trajectory in Badminton Using Player’s Information |
| title_sort | future prediction of shuttlecock trajectory in badminton using player s information |
| topic | trajectory prediction sports analysis time-series model |
| url | https://www.mdpi.com/2313-433X/9/5/99 |
| work_keys_str_mv | AT yukanokihara futurepredictionofshuttlecocktrajectoryinbadmintonusingplayersinformation AT ryohachiuma futurepredictionofshuttlecocktrajectoryinbadmintonusingplayersinformation AT ryosukehori futurepredictionofshuttlecocktrajectoryinbadmintonusingplayersinformation AT hideosaito futurepredictionofshuttlecocktrajectoryinbadmintonusingplayersinformation |