Neural Network loading
    MoveNet loading
0% certainty

This looks like ..

... classifier loading

👋🏼
up next

Pay attention to...

your breath for now

Benefits include ..

🤸‍♀️🦶
the body
🌸🧠
the mind
🫀🫁
the organs

Inner workings

This app uses a custom-trained Neural Network classifier and the MoveNet model to identify keypoints of the body. It was made by Nadia Piet for her thesis exploring the potential for human pose estimation to support embodied learning systems in the context of yoga studies. Let me know what you think!

Instructions

  1. Allow the browser to access your webcam
  2. Stand back so your whole body - from top to toe - is visible
  3. Do a yoga pose (e.g. ‘tree’ pose) and see what happens!
  4. Happy learning!

Use the app on desktop for the full experience with audio & customization

Instructions

  1. Allow the browser to access your webcam
  2. Turn on your sound
  3. Stand back so your whole body - from top to toe - is visible
  4. Do a yoga pose (e.g. ‘tree’ pose) and see what happens!
  5. Customize your learning mode
  6. Happy learning!

Use the app on desktop for the full experience including audio & customization

About

This app unifies yoga practice with yoga studies by recognizing the poses you’re doing and helping you learn about their physical, internal, and mental benefits, alignment cues, and English & Sanskrit names.

Enable your webcam, set your learning mode, and have fun!

Learning mode

  • Speaking 💬
  • Reading 📕

About

This app unifies yoga practice with yoga studies by recognizing the poses you’re doing and helping you learn about their physical, internal, and mental benefits, alignment cues, and English & Sanskrit names.

Enable your webcam, set your learning mode, and have fun!

Inner workings

This app uses a custom-trained Neural Network classifier and the MoveNet model to identify keypoints of the body. It was made by Nadia Piet for her thesis exploring the potential for human pose estimation to support embodied learning systems in the context of yoga studies. Let me know what you think!