A Lightweight Approach for Activity Classification on Microcontrollers

A lightweight activity classification algorithm suitable for microcontrollers is presented, which is intended to be used on activity monitors. Therefore it focuses on five daily activities: inactivity, walking, cycling and walking up- and downstairs. This algorithm includes a novel approach for detecting cycling, which relies on properties of the power spectrum. Classification parameters are extracted from accelerometer and barometer data streams.