“Collecting sensor data from an MCU, transmitting it via BLE, controlling it with an App, and logging it remotely on a spreadsheet.
Introduction
In my last tutorials using the Seed XIAO BLE Sense, we explored embedded machine learning applications, using data generated by its sensors as the accelerometer: TinyML Made Easy: Anomaly Detection & Motion Classification, and microphone: TinyML Made Easy: Sound Classification (KWS).
In the accelerometer case, the data was collected by connecting the XIAO directly to Edge Impulse Studio via a serial port using the computer.”