# Pico-Motion-Recognition **Repository Path**: chenqy/Pico-Motion-Recognition ## Basic Information - **Project Name**: Pico-Motion-Recognition - **Description**: In this tutorial, we will use machine learning to build a gesture recognition system that runs on a tiny microcontroller, the RP2040. - **Primary Language**: Unknown - **License**: Apache-2.0 - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 2 - **Created**: 2025-11-17 - **Last Updated**: 2025-11-17 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # Pico-Motion-Recognition

This Repository has the code used on the 2 parts tutorial TinyML - Motion Recognition Using Raspberry Pi Pico

- The first part is to explore the Raspberry Pi Pico (RP2040), its main components and how to program it, using its C/C++ SDK (Software Development Kit). - In the second part, the Pico is programmed to capture "gesture data" used to train a tinyML model, using Edge Impulse Studio. Once developed and tested, the model is deployed and used for real inference on the same device. - The project can be cloned on Edge Impulse Studio - Project - Here a quick view of the project running at YouTube - Alternativelly, the code on 15_pico_accel_multicore_capture_data, shows how to capture data continuosly on Core 1, when the data is sent to Serial by the code running on Core 0 I recommend, visiting the great tutorial Machine Learning Inference on Raspberry Pico 2040 by Dmitry Maslov, which inspire me on this project.