Detection of IoT Event Bursts in Smart Home Home Automation System

Abstract

© 2019 IEEE. In this paper, a solution for detecting event bursts in smart home system is proposed. The goal is to identify user behavior patterns and eventually propose automation of frequently used actions, in order to improve user experience. Existing smart home system is extended with a data collection platform, which stores all device state changes in user's system. The stored data is then analyzed using Apache Spark, in order to detect event bursts, i.e. the changes that usually happen in a group. The details of the implementation are presented and the accuracy of the solution is tested on both artificial and real data test sets.