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Pose Estimation for Fitness and Physical Therapy Application

Improved pose estimation and error detection by 64%.

Pose estimation for therapy
Key Details

Improved pose estimation and error detection by 64%.

  • Challenge
    Develop a state-of-the-art pose estimation model to detect a human posture in a real-time scenario and perform error analysis and repetitions counting
  • Solution
    Deep learning for accurate human pose estimation and data science algorithms for error detection
  • Technologies and tools
    PyTorch, CoreML, TFLite, OpenCV, Scikit-learn

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