Motion recognition for the Arduino

Intro

Edge Impulse is an free online service where you can build machine learning models to recognize certain patterns using sensor data. Think of audio, images and in case of this tutorial, motion (accelerometer). Machine learning (ML) is a way of writing computer programs. Specifically, it's a way of writing programs that process raw data and turn it into information that is useful for a specific purpose. Unlike normal computer programs, the rules of ML programs are not determined by a human programmer. Instead, ML uses specialized algorithms (sequence of instructions) to learn from data in a process known as training.

In this tutorial we will be using Edge Impulse to train a ML model to recognize motion gestures that you will define using the accelerometer in your mobile phone. After successfully training the model on your motion gestures, we can then generate code for the Arduino Nano 33 BLE Sense. This will allow you to perform your trained motion gestures with the Arduino while, at the same time, the Arduino tries to detect what gesture is performed.