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Live human activity recognition app using Three.js, scikit-learn, websockets and Blender

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Live Human Activity Recognition 🏋️

An app that can distinguish between 'walking' and 'jumping' in real-time, using data collected from the accelerometer of a smartphone. The app has a Three.js frontend, a Python backend with a machine learning model for classification, and uses WebSockets for real-time communication.

Technologies

  • Blender
  • Three.js
  • scikit-learn
  • websockets
  • phyphox

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Live human activity recognition app using Three.js, scikit-learn, websockets and Blender

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