Smart discovery of periodic-frequent human routines for home automation
Alejandro Sánchez Guinea, Andrey Boytsov, Ludovic Mouline, Yves Le Traon · 2019
In this paper, we present an approach to discover periodic-frequent multi-step human routines in event data from smart devices and sensors deployed at home 1. Based on the discovered routines, our approach is able to suggest rules to automate the control of different aspects of the home environment. We evaluate our approach through an in the lab study, a study based on synthetic data, and an in-the-wild study. Our results show that our approach exhibits a high recall-precision performance, with a recovery rate of around 90% for most of the cases under investigation.