Human Activity Recognition Example

This example implements a simple HAR model. It collects data from an MPU6050 accelerometer and gyroscopic sensor, and classifies the data into one of 5 activities (sitting, standing, walking, jogging, go up stairs). This example is based on the Human Activity Recognition Model Zoo repository.

To use this model, you'll need to connect the sensor (an MPU6050) to the EVB (instructions here).

Building and Running the Example

This is the primary neuralSPOT example, so the makefile defaults many of its options to it.

$> cd .../neuralSPOT
$> make clean
$> make -j # makes everything
$> make TARGET=har deploy # flashes HAR to the target EVB
$> make view # connects to EVB SWO via SEGGER Jlink