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Related papers: Where to serve and return in Badminton Men's Doubl…

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The application of visual tracking to the performance analysis of sports players in dynamic competitions is vital for effective coaching. In doubles matches, coordinated positioning is crucial for maintaining control of the court and…

Computer Vision and Pattern Recognition · Computer Science 2023-10-27 Ning Ding , Kazuya Takeda , Wenhui Jin , Yingjiu Bei , Keisuke Fujii

Badminton is known as one of the fastest racket sports in the world. Despite doubles matches being more prevalent in international tournaments than singles, previous research has mainly focused on singles due to the challenges in data…

Computer Vision and Pattern Recognition · Computer Science 2025-08-20 Seungheon Baek , Jinhyuk Yun

Serves, especially first serves, are very important in professional tennis. Servers choose their serve directions strategically to maximize their winning chances while trying to be unpredictable. On the other hand, returners try to predict…

Machine Learning · Computer Science 2026-02-27 Ying Zhu , Ruthuparna Naikar

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

With the aid of mathematical modelling (basic tool is the random walk with absorbing barriers) we derive subsequent formulas to study the effect of different versions of possible rules. For different rules the probability of winning a game,…

Other Statistics · Statistics 2018-01-30 G. Szigeti

This study proposes a simple method for multi-object tracking (MOT) of players in a badminton court. We leverage two off-the-shelf cameras, one on the top of the court and the other on the side of the court. The one on the top is to track…

Computer Vision and Pattern Recognition · Computer Science 2023-08-10 Young-Ching Chou , Shen-Ru Zhang , Bo-Wei Chen , Hong-Qi Chen , Cheng-Kuan Lin , Yu-Chee Tseng

The increasing use of artificial intelligence (AI) technology in turn-based sports, such as badminton, has sparked significant interest in evaluating strategies through the analysis of match video data. Predicting future shots based on past…

Artificial Intelligence · Computer Science 2024-04-09 Minwoo Seong , Jeongseok Oh , SeungJun Kim

The increasing demand for analyzing the insights in sports has stimulated a line of productive studies from a variety of perspectives, e.g., health state monitoring, outcome prediction. In this paper, we focus on objectively judging what…

Machine Learning · Computer Science 2021-12-03 Wei-Yao Wang , Hong-Han Shuai , Kai-Shiang Chang , Wen-Chih Peng

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

Identifying significant shots in a rally is important for evaluating players' performance in badminton matches. While there are several studies that have quantified player performance in other sports, analyzing badminton data is remained…

Machine Learning · Computer Science 2021-09-15 Wei-Yao Wang , Teng-Fong Chan , Hui-Kuo Yang , Chih-Chuan Wang , Yao-Chung Fan , Wen-Chih Peng

We present a badminton training system that focuses on the backhand short service. Unlike the prior motor skill training systems which focus on the trainee's posture, our system analyzes the process of moving joints with the open kinetic…

Human-Computer Interaction · Computer Science 2023-12-05 Eden Cong-He Xu , Lung-Pan Cheng

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

In the dynamic and rapid tactic involvements of turn-based sports, badminton stands out as an intrinsic paradigm that requires alter-dependent decision-making of players. While the advancement of learning from offline expert data in…

Artificial Intelligence · Computer Science 2024-08-06 Kuang-Da Wang , Wei-Yao Wang , Ping-Chun Hsieh , Wen-Chih Peng

In professional tennis, it is often acknowledged that the server has an initial advantage. Indeed, the majority of points are won by the server, making the serve one of the most important elements in this sport. In this paper, we focus on…

Applications · Statistics 2019-09-10 Silvia Montagna , Vanessa Orani , Raffaele Argiento

In the competitive realm of sports, optimal performance necessitates rigorous management of nutrition and physical conditioning. Specifically, in badminton, the agility and precision required make it an ideal candidate for motion analysis…

Human-Computer Interaction · Computer Science 2024-03-15 Dhruv Toshniwal , Arpit Patil , Nancy Vachhani

Agent forecasting systems have been explored to investigate agent patterns and improve decision-making in various domains, e.g., pedestrian predictions and marketing bidding. Badminton represents a fascinating example of a multifaceted…

Artificial Intelligence · Computer Science 2023-12-19 Wei-Yao Wang , Wen-Chih Peng , Wei Wang , Philip S. Yu

Sports professionals constantly under pressure to perform at the highest level can benefit from sports analysis, which allows coaches and players to reduce manual efforts and systematically evaluate their performance using automated tools.…

Computer Vision and Pattern Recognition · Computer Science 2023-08-03 Yu-Hang Chien , Fang Yu

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

Sports analytics has captured increasing attention since analysis of the various data enables insights for training strategies, player evaluation, etc. In this paper, we focus on predicting what types of returning strokes will be made, and…

Machine Learning · Computer Science 2023-06-16 Kai-Shiang Chang , Wei-Yao Wang , Wen-Chih Peng

The spread in the use of tracking systems in sport has made fine-grained spatiotemporal analysis a primary focus of an emerging sports analytics industry. Recently publicized tracking data for men's professional tennis allows for the first…

Methodology · Statistics 2022-02-02 Stephanie A. Kovalchik , Jim Albert
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