jaredmaks / tinyml-on-the-edge
IMU sensors on Arduino Nano 33 BLE Sense can be used in gesture recognition. Using machine learning, a model is trained using the data collected from the IMU sensors on Google Colaboratory. A tensorflow lite model is encoded in arduino header which a classifier sketch uses. They include; accelerometer , gyroscope and magnetometer.
☆30Updated 5 years ago
Alternatives and similar repositories for tinyml-on-the-edge:
Users that are interested in tinyml-on-the-edge are comparing it to the libraries listed below
- TensorFlow package for Cortex-M0-Plus, Cortex-M4, Cortex-M7, and Cortex-M55 CPUs.☆40Updated 6 months ago
- Motion recognition with artificial intelligence on STM32☆18Updated 6 years ago
- ☆45Updated 3 months ago
- STM32CUBE IDE X-CUBE-AI project version for STM32F4 Discovery based on ST HAR-CNN Keras model☆15Updated 5 years ago
- Gesture recognition Deep Learning project for STM32 (based on Keras model)☆23Updated 5 years ago
- Hand written digits recognition on STM32F4☆21Updated 5 years ago
- lsm6dsox platform independent driver based on Standard C language and compliant with MISRA standard☆13Updated last month
- GUI for plotting/storing data from ProtoCentral breakouts☆21Updated 9 months ago
- Magic Wand example for TensorFlow Lite Micro☆36Updated 2 years ago
- SparkFun's Edge Development Board is based around the newest edge technology and is perfect for getting your feet wet with voice and even…☆43Updated 5 years ago
- ☆30Updated 4 years ago
- ProtoCentral MAX86150 PPG and ECG chip breakout board Arduino libraries and Hardware☆32Updated last month
- Example demonstrates how to create a motion sensing application to recognize human activities using machine learning on an STM32WB microc…☆16Updated 2 years ago
- Generate C code for microcontrollers from Tensorflow models☆57Updated last year
- Collection of STM32 projects making use of Tensorflow Lite Micro☆27Updated 4 years ago
- ☆68Updated this week
- Data Sampling App from Serial to CSV file☆39Updated 3 years ago
- Tensorflow for Kendryte, optimized for KPU☆60Updated 6 years ago
- In this tutorial, we will use machine learning to build a gesture recognition system that runs on a tiny microcontroller, the RP2040.☆24Updated 3 years ago
- ☆39Updated this week
- Breakout board for ICM-20948 with i2c☆17Updated 5 years ago
- Nvidia TAO (Train, Adapt, Optimize) with STM32Cube.AI Developer Cloud☆35Updated last month
- ☆21Updated 3 years ago
- Kendryte K210: development platform for PlatformIO☆79Updated last year
- Machine Learning on ESP32 with MicroPython and standard ML algorithms to detect gestures from time-series data.☆39Updated 2 years ago
- Portable C++ library for signal processing and machine learning inferencing☆80Updated last month
- 9 DoF sensor fusion with AHRS output for MPU-6050 gyro/accel + HMC5883 magnetometer sensor☆29Updated 3 years ago
- Kendryte k210 standalone programming guide☆51Updated 4 years ago
- ☆43Updated 2 years ago