tkeyo/tinyml-esp
Machine Learning on ESP32 with MicroPython and standard ML algorithms to detect gestures from time-series data.
This project helps engineers and hobbyists implement gesture recognition on low-power devices. It takes accelerometer and gyroscope data from an ESP32 microcontroller as input and outputs classifications for specific movements like X-axis, Y-axis, or circular gestures. This is ideal for those building interactive prototypes or small-scale automation without needing a full computer.
No commits in the last 6 months.
Use this if you need to detect simple physical gestures using an ESP32 and MicroPython, classifying them in real-time for embedded applications.
Not ideal if you require complex gesture recognition, need to process large amounts of data, or are working with different hardware platforms.
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60
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Language
Python
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Last pushed
Feb 15, 2022
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