Low-power activity recognition from triaxial accelerometer data

摘要

In this work, a low power triaxial accelerometer data acquisition prototype is presented, which is used to derive physical activity recognition algorithms to be used for implantable or wearable applications. There different characterization methods were implemented and can predict the different activities with good accuracy (380 cases out of 386).