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Gesture Recognition with Neuton TinyML by Doug Hodson is a document available to read on EtoBox.

The document describes creating a gesture recognition system using an Arduino microcontroller and TinyML framework Neuton. It involves three main steps: 1. Capturing training data by recording accelerometer readings from an Arduino performing two gestures (punch and flex) multiple times. 2. Using the Neuton online tool to train a neural network model on the collected training data without any coding. 3. Deploying the trained model onto the Arduino to classify new gestures in real-time.

Author
Doug Hodson
Language
EN