Benchmarking Smart Spaces Through Autonomous Virtual Agents (Extended Abstract)
Mario Caruso, Francesco Leotta, Massimo Mecella, Stavros Vassos · 2013
In the recent years there has been a growing interest in the design and implementation of smart homes. The evaluation of these approaches requires massive datasets of measurements from deployed sensors in real prototypes. While datasets obtained by real smart homes are freely available, they are not sucient for comparing dierent approaches and techniques in a variety of congurations. In this work we propose a smart home dataset generation strategy based on a simulated environment populated with virtual autonomous agents, sensors and devices that allow to customize and reproduce a smart space using series of useful parameters.