Where will players move next? dynamic graphs and hierarchical fusion for movement forecasting in badminton

KS Chang, WY Wang, WC Peng - … of the AAAI Conference on Artificial …, 2023 - ojs.aaai.org
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 …

PlayBest: Professional Basketball Player Behavior Synthesis via Planning with Diffusion

X Chen, WY Wang, Z Hu, D Reynoso, K Jin… - Proceedings of the 33rd …, 2024 - dl.acm.org
Dynamically planning in complex systems has been explored to improve decision-making in
various domains. Professional basketball serves as a compelling example of a dynamic …

Shuttleset: A human-annotated stroke-level singles dataset for badminton tactical analysis

WY Wang, YC Huang, TU Ik, WC Peng - Proceedings of the 29th ACM …, 2023 - dl.acm.org
With the recent progress in sports analytics, deep learning approaches have demonstrated
the effectiveness of mining insights into players' tactics for improving performance quality …

A reinforcement learning badminton environment for simulating player tactics (student abstract)

LC Huang, NZ Hsueh, YC Chien, WY Wang… - Proceedings of the …, 2023 - ojs.aaai.org
Recent techniques for analyzing sports precisely has stimulated various approaches to
improve player performance and fan engagement. However, existing approaches are only …

Professional Basketball Player Behavior Synthesis via Planning with Diffusion

X Chen, WY Wang, Z Hu, C Chou, L Hoang… - arXiv preprint arXiv …, 2023 - arxiv.org
Dynamically planning in multi-agent systems has been explored to improve decision-making
in various domains. Professional basketball serves as a compelling example of a dynamic …

Offline Imitation of Badminton Player Behavior via Experiential Contexts and Brownian Motion

KD Wang, WY Wang, PC Hsieh, WC Peng - Joint European Conference …, 2024 - Springer
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 …

SACNN: self attention-based convolutional neural network for fraudulent behaviour detection in sports

MR Rahman, LA Khaliq, T Piper, H Geyer… - Proceedings of the …, 2024 - dl.acm.org
Doping practices in sports by unscrupulous athletes have been an important societal issue
for several decades. Recently, sample swapping has been raised as a potential practice …

The CoachAI Badminton Environment: Bridging the Gap between a Reinforcement Learning Environment and Real-World Badminton Games

KD Wang, YT Chen, YH Lin, WY Wang… - Proceedings of the AAAI …, 2024 - ojs.aaai.org
Abstract We present the CoachAI Badminton Environment, a reinforcement learning (RL)
environment tailored for AI-driven sports analytics. In contrast to traditional environments …

Transformer on Shuttlecock Flying Direction Prediction for Hit-frame Detection

YH Chien, F Yu - arXiv preprint arXiv:2307.16000, 2023 - arxiv.org
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 …

Team Badminseok at IJCAI CoachAI Badminton Challenge 2023: Multi-Layer Multi-Input Transformer Network (MuLMINet) with Weighted Loss

M Seong, J Oh, SJ Kim - arXiv preprint arXiv:2307.08262, 2023 - arxiv.org
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 …