# 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.