If you want to add gesture interaction to embedded devices but are worried about hardware limitations, the QuecPython open-source project might be just what you need — a real-time gesture recognition system based on TinyML technology, utilizing the MPU6500 six-axis sensor and a random forest model to achieve precise and lightweight gesture perception on the QuecPython platform.
Core Capability: Enabling Devices to “Understand” Gestures
The system collects motion data in real-time through the MPU6500 sensor (3-axis accelerometer + 3-axis gyroscope), which is preprocessed and fed into a pre-trained random forest classifier, capable of reliably recognizing three specific gestures in the X/Y axis, outputting results 1-3; when no gesture is detected, it returns 0.
The entire process from data collection to result output is automated and includes a built-in debounce mechanism: a result is considered valid only after three consecutive identical recognitions, significantly reducing the false positive rate.
Why is it Suitable for Embedded Scenarios?
● Extremely Lightweight: Low overall memory usage, no need for high-performance hardware, low-power modules can run smoothly.
● Fast Real-time Response: Millisecond-level response in actual scenarios meets interaction needs.
● Stable and Reliable: Circular buffer automatically manages data to avoid overflow and contamination; a non-blocking architecture driven by hardware timers does not affect other device functions.
● Ready to Use: Clear code structure (including sensor drivers, model inference, main program, etc.), supports quick integration and secondary development.
Effect Demonstration
Quick Start
1. Prepare a QuecPython series development board; the video demonstration uses the EG91X series development board (Purchase link: https://www.auecmall.com/goods-detai/2c90800b94028e0c01944e04265a0065)2. Pull the code from the QuecPython open-source repository (https://github.com/QuecPython/tinyml gpy)3. Use QPYcom to download the script to the development board and execute the entry function _main.py
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