English
Related papers

Related papers: Bridging the Gap: Doubles Badminton Analysis with …

200 papers

Badminton is a fast-paced sport that requires a strategic combination of spatial, temporal, and technical tactics. To gain a competitive edge at high-level competitions, badminton professionals frequently analyze match videos to gain…

Human-Computer Interaction · Computer Science 2023-08-09 Tica Lin , Alexandre Aouididi , Zhutian Chen , Johanna Beyer , Hanspeter Pfister , Jui-Hsien Wang

Analysis of player movements is a crucial subset of sports analysis. Existing player movement analysis methods use recorded videos after the match is over. In this work, we propose an end-to-end framework for player movement analysis for…

Computer Vision and Pattern Recognition · Computer Science 2023-08-24 Nitin Nilesh , Tushar Sharma , Anurag Ghosh , C. V. Jawahar

Coordinating the motion between lower and upper limbs and aligning limb control with perception are substantial challenges in robotics, particularly in dynamic environments. To this end, we introduce an approach for enabling legged mobile…

Robotics · Computer Science 2025-09-24 Yuntao Ma , Andrei Cramariuc , Farbod Farshidian , Marco Hutter

We present ShuttleEnv, an interactive and data-driven simulation environment for badminton, designed to support reinforcement learning and strategic behavior analysis in fast-paced adversarial sports. The environment is grounded in…

Artificial Intelligence · Computer Science 2026-03-19 Ang Li , Xinyang Gong , Bozhou Chen , Yunlong Lu , Jiaming Ji , Yongyi Wang , Yaodong Yang , Wenxin Li

Computer vision based object tracking has been used to annotate and augment sports video. For sports learning and training, video replay is often used in post-match review and training review for tactical analysis and movement analysis. For…

Computer Vision and Pattern Recognition · Computer Science 2019-07-31 Tzu-Han Hsu , Ching-Hsuan Chen , Nyan Ping Ju , Tsì-Uí İk , Wen-Chih Peng , Chih-Chuan Wang , Yu-Shuen Wang , Yuan-Hsiang Lin , Yu-Chee Tseng , Jiun-Long Huang , Yu-Tai Ching

In this paper, our objective is to improve the performance of the existing framework ShuttleNet in predicting badminton shot types and locations by leveraging past strokes. We participated in the CoachAI Badminton Challenge at IJCAI 2023…

Machine Learning · Computer Science 2023-07-27 Shih-Hong Chen , Pin-Hsuan Chou , Yong-Fu Liu , Chien-An Han

Realizing versatile and human-like performance in high-demand sports like badminton remains a formidable challenge for humanoid robotics. Unlike standard locomotion or static manipulation, this task demands a seamless integration of…

Recent techniques for analyzing sports precisely has stimulated various approaches to improve player performance and fan engagement. However, existing approaches are only able to evaluate offline performance since testing in real-time…

Machine Learning · Computer Science 2022-11-23 Li-Chun Huang , Nai-Zen Hseuh , Yen-Che Chien , Wei-Yao Wang , Kuang-Da Wang , Wen-Chih Peng

Quantifying impact phenomena in badminton smashes is important for evaluating both athletic performance and equipment; however, conventional measurement systems involve trade-offs between temporal resolution, data efficiency, and…

Computer Vision and Pattern Recognition · Computer Science 2026-05-28 Yudai Washida , Yuto Kase , Kai Ishibe , Ryoma Yasuda , Sakiko Hashimoto

We introduce the most comprehensive publicly available datasets for mixed doubles curling, constructed from eleven top-level tournaments from the CurlIT (https://curlit.com/results) Results Booklets spanning 53 countries, 1,112 games, and…

Applications · Statistics 2025-12-22 Robyn Ritchie , Alexandre Leblanc , Thomas Loughin

Multi-object tracking, player identification, and pose estimation are fundamental components of sports analytics, essential for analyzing player movements, performance, and tactical strategies. However, existing datasets and methodologies…

Computer Vision and Pattern Recognition · Computer Science 2026-01-21 Kazuhiro Yamada , Li Yin , Qingrui Hu , Ning Ding , Shunsuke Iwashita , Jun Ichikawa , Kiwamu Kotani , Calvin Yeung , Keisuke Fujii

Modeling each hit as a multivariate event in racket sports and conducting sequential analysis aids in assessing player/team performance and identifying successful tactics for coaches and analysts. However, the complex correlations among…

Databases · Computer Science 2023-07-27 Jiang Wu , Dongyu Liu , Ziyang Guo , Yingcai Wu

This paper presents CourtMotion, a spatiotemporal modeling framework for analyzing and predicting game events and plays as they develop in professional basketball. Anticipating basketball events requires understanding both physical motion…

Computer Vision and Pattern Recognition · Computer Science 2025-12-10 Omer Sela , Michael Chertok , Lior Wolf

Understanding tactical dynamics in badminton requires analyzing entire matches rather than isolated clips. However, existing badminton datasets mainly focus on short clips or task-specific annotations and rarely provide full-match data with…

Computer Vision and Pattern Recognition · Computer Science 2026-03-27 Ning Ding , Keisuke Fujii , Toru Tamaki

A human-like chess engine should mimic the style, errors, and consistency of a strong human player rather than maximize playing strength. We show that training from move sequences alone forces a model to learn two capabilities: state…

Artificial Intelligence · Computer Science 2026-04-01 Quanhao Li , Wei Jiang

During the 2017 NBA playoffs, Celtics coach Brad Stevens was faced with a difficult decision when defending against the Cavaliers: "Do you double and risk giving up easy shots, or stay at home and do the best you can?" It's a tough call,…

Machine Learning · Computer Science 2018-03-09 Jiaxuan Wang , Ian Fox , Jonathan Skaza , Nick Linck , Satinder Singh , Jenna Wiens

In the domain of Sport Analytics, Global Positioning Systems devices are intensively used as they permit to retrieve players' movements. Team sports' managers and coaches are interested on the relation between players' patterns of movements…

Applications · Statistics 2018-05-08 Rodolfo Metulini

Tactical understanding in badminton involves interpreting not only individual actions but also how tactics are dynamically executed over time. In this paper, we propose \textbf{Shot2Tactic-Caption}, a novel framework for semantic and…

Computer Vision and Pattern Recognition · Computer Science 2025-10-17 Ning Ding , Keisuke Fujii , Toru Tamaki

Real-time 3D trajectory player tracking in sports plays a crucial role in tactical analysis, performance evaluation, and enhancing spectator experience. Traditional systems rely on multi-camera setups, but are constrained by the inherently…

Computer Vision and Pattern Recognition · Computer Science 2025-08-22 Ryunosuke Hayashi , Kohei Torimi , Rokuto Nagata , Kazuma Ikeda , Ozora Sako , Taichi Nakamura , Masaki Tani , Yoshimitsu Aoki , Kentaro Yoshioka

This study aims to analyze the service and return landing areas in badminton men's double, based on data extracted from 20 badminton matches. We find that most services land near the center-line, while returns tend to land in the crossing…

Applications · Statistics 2023-10-31 Xuelin Zhu , Yu Sun , Yumin Zeng , Cong Xu