mlsanityData to 14 Oct 2026

IoT-Based 3D Pose Estimation and Motion Optimization for Athletes: Application of C3D and OpenPose

arXiv 2411.12676 ↗First posted 19 Nov 2024cs.CV cs.LGcited by 7

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Abstract (arXiv)

This study proposes the IoT-Enhanced Pose Optimization Network (IE-PONet) for high-precision 3D pose estimation and motion optimization of track and field athletes. IE-PONet integrates C3D for spatiotemporal feature extraction, OpenPose for real-time keypoint detection, and Bayesian optimization for hyperparameter tuning. Experimental results on NTURGB+D and FineGYM datasets demonstrate superior performance, with AP(p50) scores of 90.5 and 91.0, and mAP scores of 74.3 and 74.0, respectively. Ablation studies confirm the essential roles of each module in enhancing model accuracy. IE-PONet provides a robust tool for athletic performance analysis and optimization, offering precise technical insights for training and injury prevention. Future work will focus on further model optimization, multimodal data integration, and developing real-time feedback mechanisms to enhance practical applications.

Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). Builds on 19 of its 101 references that are in the map. First posted on arXiv 19 Nov 2024.

Builds on

19 of 101 references.

References · 19

  1. 2024CU-Net: a U-Net architecture for efficient brain-tumor segmentation on BraTS 2019 datasetcited by 24
  2. 2023Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspectivecited by 23
  3. 2024Deep Learning-based Anomaly Detection and Log Analysis for Computer Networkscited by 23
  4. 2024Automatic News Generation and Fact-Checking System Based on Language Processingcited by 22
  5. 2024Optimizing Automated Picking Systems in Warehouse Robots Using Machine Learningcited by 20
  6. 2024Image anomaly detection and prediction scheme based on SSA optimized ResNet50-BiGRU modelcited by 18
  7. 2024Identification of Prognostic Biomarkers for Stage III Non-Small Cell Lung Carcinoma in Female Nonsmokers Using Machine Learningcited by 17
  8. 2024Deep Reinforcement Learning-based Obstacle Avoidance for Robot Movement in Warehouse Environmentscited by 17
  9. 2024Enhancing Visual Question Answering through Ranking-Based Hybrid Training and Multimodal Fusioncited by 16
  10. 2024AdaPI: Facilitating DNN Model Adaptivity for Efficient Private Inference in Edge Computingcited by 15
  11. 2024The Design of Autonomous UAV Prototypes for Inspecting Tunnel Construction Environmentcited by 15
  12. 2024Few-shot Name Entity Recognition on StackOverflowcited by 14
7 more
  1. 2024Cross-border Commodity Pricing Strategy Optimization via Mixed Neural Network for Time Series Analysiscited by 12
  2. 2024Mix of Experts Language Model for Named Entity Recognitioncited by 11
  3. 2024Deep Analysis of Time Series Data for Smart Grid Startup Strategies: A Transformer-LSTM-PSO Model Approachcited by 11
  4. 2024Graphical Structural Learning of rs-fMRI data in Heavy Smokerscited by 11
  5. 2024LTPNet Integration of Deep Learning and Environmental Decision Support Systems for Renewable Energy Demand Forecastingcited by 7
  6. 2024Real-time Monitoring and Analysis of Track and Field Athletes Based on Edge Computing and Deep Reinforcement Learning Algorithmcited by 7
  7. 2024TRIZ Method for Urban Building Energy Optimization: GWO-SARIMA-LSTM Forecasting modelcited by 6

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 2; 2025: 4; 2026: 1.

7 papers.