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 ...

After achieving good accuracy, download the Arduino Library from Edge Impulse. Install the library into the Arduino IDE. Use the pre-built example code from the library to load the model onto the ...

OpenEarable v1 Block Diagram. The OpenEarable firmware is implemented in C++ using the Arduino framework based on the implementation of the Arduino Nano 33 BLE Sense and can be found on GitHub, while ...

Abstract: This Paper outlines the creation, construction, and evaluation of a Real-Time Voice Recognition System using TinyML on an Arduino Nano 33 BLE, a hardware platform with limited resources.