An Integrated Framework for Binary Sensor Placement and Inhabitants Location Tracking

Abstract

International audienceThis correspondence paper deals with the sensor placement optimization problem in the context of indoor multiple inhabitants location tracking to solve ambient assisted living problems. Binary sensors, like passive infrared (PIR) sensors, are used to guaranty specific coverage requirements and allow privacy respecting. Moreover, within real home environments, different kinds of obstacles (like walls, high furniture , etc.) can affect the detection capacity of PIR sensors. This paper proposes an integrated framework devoted to optimize the placement of sensors and PIR sensors in smart homes by taking into account physical topologies and coverage precision constraints. An integer linear programming problem is formalized and a case study illustrates the applicability of the proposed approach and the scalability of the optimization method. Index Terms—Ambient assisted living (AAL), binary sensors, integer linear programming (ILP), smart home

Towards Sensor Failure Detection in Ambient Assisted Living: Sensors Correlations

“…A limitation for the proposed system is that some of the deployed sensors do not have rules that enable us to check on their faulty behaviour. This point will be considered in the future work, especially in relation to existing works on automatic placement of sensors for ADL recognition [13]. Also, a sensor failure detection system will be developed based on the obtained rules and real-time experiments will be conducted with injecting various types of failures to evaluate the performance of detecting failures.…”

Smart placement of motion sensors in a home environment

“…In recent years, Ambient Assisted Living (AAL) applications have found large diffusion in smart home environment [1]- [3], [6], [7], [13], [14]. The main goal of AAL is improving the comfort, the health and the safety of aged or disabled people living in their own house.…”

“…Smart technologies and devices, like sensors, actuators and controllers, in combination with smart strategies are largely used to satisfy the AAL goals. In this context, several AAL applications are included such as the control of smart equipment to support elderly people in their daily activities, the remote monitoring of patients having long-term diseases, and the indoor location tracking of inhabitants [1], [6]- [15]. Among all the applications, the tracking of people movements at home is an important task both for comfort, healthcare and safety purposes [1]- [3], [6]- [9].…”

“…In this context, several AAL applications are included such as the control of smart equipment to support elderly people in their daily activities, the remote monitoring of patients having long-term diseases, and the indoor location tracking of inhabitants [1], [6]- [15]. Among all the applications, the tracking of people movements at home is an important task both for comfort, healthcare and safety purposes [1]- [3], [6]- [9]. To ensure an optimal location tracking performance by properly covering the spaces and minimizing the cost of the instrumentation, it is important to optimize the sensors deployment [1]- [5], [13].…”

“…Among all the applications, the tracking of people movements at home is an important task both for comfort, healthcare and safety purposes [1]- [3], [6]- [9]. To ensure an optimal location tracking performance by properly covering the spaces and minimizing the cost of the instrumentation, it is important to optimize the sensors deployment [1]- [5], [13]. Therefore, the optimization of sensors deployment has been one of the main objective in different kind of environments, like residential, office and public buildings or areas for improving the quality of the provided services.…”