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Exercise 10: Next Steps

Now that you have things working, here are a few new things to try.

  • Add some more gestures to go with the 👊 and :flex:

    1. Load the IMU_Capture sketch on your Arduino Nano 33 BLE Sense.
    2. Caputure some additional gestures for a new emoji. Perhaps a 😄, 👍, 👏, or 👋
    3. Load the new CSV files into your Colab model
    4. Put the trained model back on your Nano 33 BLE Sense.

  • Try increasing and decreasing the number of recordings per gesture, how does this impact performance?

  • Try to only use the accelerometer or gyroscope data (not both), how does this impact performance?

  • Tweak the model structure and parameters

    • Can you get better results?
    • Can you reduce the size and still get "good" results

  • Check out the examples in the TensorFlow Lite Getting Started Guide

  • Try the Arudino Fruit to Emoji Tutorial

  • Grab the TinyML book to continue at home