Model-Based Location Tracking of an a priori Unknown Number of Inhabitants in Smart Homes

摘要

In this paper, we propose an approach for online model-based location tracking of inhabitants in Smart Homes. Based on our previous solution for a fixed and predefined number of inhabitants using finite automata, we generalize the approach to handle an a priori unknown number of inhabitants. The online algorithms to detect the number of inhabitants and to track their location are given, and a comprehensive evaluation method is defined. It consists of an analytical and a simulation-based procedure as well and is able to predict the tracking performance for real Smart Homes by a normalized measure. Throughout the paper, previous and new results are illustrated by a realistic case study and illustrative scenarios are given.