Choosing Duty-Cycle Parameters for Context Recognition
Vito Janko, Mitja Luštrek · 2018
The recognition of the user's context with wearable sensing systems is a common problem in ubiquitous computing. However, the typically small battery of such systems often makes continuous recognition impractical. An efficient method to reduce the strain on the battery is to employ duty-cycling – periodically turning sensors on and off. Its benefits increase if the duration of those periods is tailored to each context. In this work we present a general mathematical model to predict the effect of different duty-cycle parameters on the system and discuss ways of selecting suitable ones. The methodology was tested on a real-life dataset where it accurately predicted the system performance and found duty-cycle parameters that were better than those found with expert knowledge alone.