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Motor Activity Detection using TensorFlow Lite on Arduino Nano 33 BLE board

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alwint3r/Motor-Activity-Detection-TinyML

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Motor Activity Detection with TinyML

This demonstrates how one can leverage Arduino Nano 33 BLE board to detect the activity of a motor using ML model trained using TensorFlow 2.0. This project is inspired by magic_wand example of TensorFlow Lite for Microcontroller and Shahnawax/HAR-CNN-Keras. The CNN-based model is a mix-and-match between magic_wand CNN model and HAR-CNN-Keras model.

Events where this repository is presented

  • Arduino Day 2020 celebration
  • Global Azure Virtual 2020 (slides)

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Motor Activity Detection using TensorFlow Lite on Arduino Nano 33 BLE board

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