EITNet: An IoT-Enhanced Framework for Real-Time Basketball Action Recognition
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Abstract (arXiv)
Integrating IoT technology into basketball action recognition enhances sports analytics, providing crucial insights into player performance and game strategy. However, existing methods often fall short in terms of accuracy and efficiency, particularly in complex, real-time environments where player movements are frequently occluded or involve intricate interactions. To overcome these challenges, we propose the EITNet model, a deep learning framework that combines EfficientDet for object detection, I3D for spatiotemporal feature extraction, and TimeSformer for temporal analysis, all integrated with IoT technology for seamless real-time data collection and processing. Our contributions include developing a robust architecture that improves recognition accuracy to 92%, surpassing the baseline EfficientDet model's 87%, and reducing loss to below 5.0 compared to EfficientDet's 9.0 over 50 epochs. Furthermore, the integration of IoT technology enhances real-time data processing, providing adaptive insights into player performance and strategy. The paper details the design and implementation of EITNet, experimental validation, and a comprehensive evaluation against existing models. The results demonstrate EITNet's potential to significantly advance automated sports analysis and optimize data utilization for player performance and strategy improvement.
Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). Builds on 20 of its 85 references that are in the map. First posted on arXiv 13 Oct 2024.
Builds on
20 of 85 references.
References · 20
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- 2022P-STMO: Pre-Trained Spatial Temporal Many-to-One Model for 3D Human Pose Estimationcited by 80
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8 more
- 2024Enhancing Visual Question Answering through Ranking-Based Hybrid Training and Multimodal Fusioncited by 16
- 2021DPMPC-Planner: A real-time UAV trajectory planning framework for complex static environments with dynamic obstaclescited by 15
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Citing papers per year: 2024: 2; 2025: 6.
8 papers.
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- 2025HydraNet: Momentum-Driven State Space Duality for Multi-Granularity Tennis Tournaments Analysiscited by 0
- 2025Research on Short-Video Platform User Decision-Making via Multimodal Temporal Modeling and Reinforcement Learningcited by 0
- 2025DT-NeRF: A Diffusion and Transformer-Based Optimization Approach for Neural Radiance Fields in 3D Reconstructioncited by 0
- 2025DT-NeRF: A Diffusion and Transformer-Based Optimization Approach for Neural Radiance Fields in 3D Reconstruction21 Sep 2025
- 2025Research on Short-Video Platform User Decision-Making via Multimodal Temporal Modeling and Reinforcement Learning13 Sep 2025
- 2025MamNet: A Novel Hybrid Model for Time-Series Forecasting and Frequency Pattern Analysis in Network Traffic30 Jun 2025
- 2025HydraNet: Momentum-Driven State Space Duality for Multi-Granularity Tennis Tournaments Analysis28 May 2025
- 2025CPLOYO: A Pulmonary Nodule Detection Model with Multi-Scale Feature Fusion and Nonlinear Feature Learning13 Mar 2025
- 2025Intelligent logistics management robot path planning algorithm integrating transformer and GCN network6 Jan 2025
- 2024LTPNet Integration of Deep Learning and Environmental Decision Support Systems for Renewable Energy Demand Forecasting20 Oct 2024
- 2024TRIZ Method for Urban Building Energy Optimization: GWO-SARIMA-LSTM Forecasting model20 Oct 2024