CoachAI-Projects

Overview

This repo contains official implementations of Coach AI Badminton Project from Advanced Database System Laboratory, National Yang Ming Chiao Tung University supervised by Prof. Wen-Chih Peng.

The high-level concepts of each project are as follows:

Visualization Platform published at Physical Education Journal 2020 aims to construct a platform that can be used to illustrate the data from matches.
Shot Influence and Extension Work published at ICDM'21 and ACM TIST 2022, respectively introduce a framework with a shot encoder, a pattern extractor, and a rally encoder to capture long short-term dependencies for evaluating players' performance of each shot.
Stroke Forecasting published at AAAI-22 proposes the first stroke forecasting task to predict the future strokes of both players based on the given strokes by ShuttleNet, a position-aware fusion of rally progress and player styles framework.
Strategic Environment published at AAAI-23 Student Abstract designs a safe and reproducible badminton environment for turn-based sports, which simulates rallies with different angles of view and designs the states, actions, and training procedures.
Movement Forecasting published at AAAI-23 proposes the first movement forecasting task, which contains not only the goal of stroke forecasting but also the movement of players, by DyMF, a novel dynamic graphs and hierarchical fusion model based on the proposed player movements (PM) graphs.