Faster, more accurate? A feasibility study on replacing human judges with artificial intelligence in video review for the Paris Olympics Taekwondo competition
Bibliographic Data
| ID | 13130317 |
|---|---|
| Authors | Yuncheng Zhang (0000-0001-6467-3667, Yan'an University, corresponding author), Rong Qu (0000-0001-8318-7509), Olivier Girard (0000-0002-4797-182X, The University of Western Australia) |
| Year | 2025 |
| Volume | 7 |
| Pages | 1632326-1632326 |
| Publication date | 2025-08-18 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Sports and Active Living (JOURNAL) |
| Journal identifiers | ISSN: 2624-9367 • E-ISSN: 2624-9367 |
| Publisher | Frontiers Media (PUBLISHER • CH) |
| DOI | 10.3389/fspor.2025.1632326 |
| PMID | 40901016 |
| OpenAlex | W4413281751 |
| Language | EN |
| References cited | 41 |
Introduction This study explores the potential of artificial intelligence (AI) to enhance the accuracy and efficiency of video review systems in Taekwondo, addressing limitations in current human-based judgment processes during competitions. Methods A total of 241 video review cases from the 2024 Paris Olympic Taekwondo competition were analyzed. AI-based judgments were generated using ChatGPT-4.5 and OpenPose deep learning models. The AI-generated penalty decisions were statistically compared to those made by international video review referees using Cohen's Kappa coefficient. Results The AI system demonstrated strong agreement with international referees ( κ = 0.897, p < 0.001). Discrepancies occurred in only 9 out of 241 cases, primarily in scenarios involving head strikes with minimal contact or visual occlusion. Additionally, the AI system reduced average review time by approximately 81% by automatically identifying critical frames. Discussion While AI significantly improved efficiency and showed high consistency with expert judgments, human oversight remains crucial for ambiguous or complex cases. A hybrid model—AI-assisted pre-review followed by referee confirmation—is proposed to optimize decision-making. Future developments should focus on real-time detection, multi-angle video integration, and application to other sports such as baseball, basketball, boxing, and judo
Biology · Competition (biology · Operations research · Artificial Intelligence Applications · Artificial Intelligence in Healthcare and Education · Computer Science · Engineering · Psychology · Artificial Intelligence
| Citation velocity | historical |
|---|---|
| Highly cited | No |