Online Location Tracking of a Single Inhabitant Based on a State Estimator

Abstract

Abstract-Ambient Assisted Living (AAL) is a field of research aiming to improve the comfort and the safety of aged or disabled people living in their own house. Several AAL approaches require the location of the inhabitant to be tracked or could be improved by considering the real time location of the inhabitant. In this paper, it is proposed to use finite automata to build a model of dynamic tracking of a single person in his house. A method for systematic generation of such a finite automaton, starting from a description of the partition of the house in zones and of the instrumentation of the house, is presented. The evaluation of the relevance of a given instrumentation, based on the analysis of the generated finite automaton, is discussed. Finally, an efficient algorithm for location tracking based on a state estimator is proposed. For the sake of better understanding, an illustrative example is used throughout the paper.

A DES Simulator for Location Tracking of Inhabitants in Smart Home

“…Even if our approach has been successfully applied to complex instrumented apartments, for the sake of better understanding a small size example of smart home has been chosen ( Automaton -DM A) from the only knowledge of the topology of the apartment and the instrumentation is described in detail in [7].…”

“…It is therefore important to be able to evaluate this accuracy for choosing the best combination zones/instrumentation. The analytic approach we proposed in [7] allows determining asymptotic performance criteria Wait for a new event e…”

“…Last but not least, such learning techniques lead to the lack of a formal and explicit model of the location of inhabitants. For these reasons, we proposed an approach allowing the systematic construction of Discrete Event Systems (DES) models (Finite Automata) on which is performed the realtime LT of single [7] or multiple [8] inhabitants into a smart home.…”

“…To evaluate the impact of these two parameters onto the efficiency of the LT, we proposed an analytic approach [7] that allows determining asymptotic performance criteria such as unlocationable zones or strong and weak accuratelocation-ability. Nevertheless, this performance evaluation does not take into account the human behavior (real time moving of inhabitants) which is very difficult to model.…”

A Petri net model of an integrated system for the Health Care At Home management

“…Some contributions investigate about new sensors to be installed in smart homes for monitoring the wellness and the health of the inhabitants [8], [9], [12], [13] or for the suitable use and analysis of the sensor outputs [15]. Other studies consider the problem of the online location tracking based on a state estimator [5], [6]. Few contributions can be found about the integration of the sensor outputs and the system managing messages and alarms.…”