LGAIJul 25, 2023

Team Intro to AI team8 at CoachAI Badminton Challenge 2023: Advanced ShuttleNet for Shot Predictions

arXiv:2307.13715v1h-index: 3Has Code
Originality Synthesis-oriented
AI Analysis

This work addresses shot prediction in badminton for sports analytics, but it appears incremental as it builds on an existing framework.

The paper tackled improving the ShuttleNet framework for predicting badminton shot types and locations using past strokes, achieving first place in the CoachAI Badminton Challenge at IJCAI 2023 with significantly better results than the baseline.

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 and achieved significantly better results compared to the baseline. Ultimately, our team achieved the first position in the competition and we made our code available.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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