The active badge location system
ACM Transactions on Information Systems (TOIS)
Intelligent Systems: Architecture, Design, and Control
Intelligent Systems: Architecture, Design, and Control
Multi-Camera Multi-Person Tracking for EasyLiving
VS '00 Proceedings of the Third IEEE International Workshop on Visual Surveillance (VS'2000)
LANDMARC: indoor location sensing using active RFID
Wireless Networks - Special issue: Pervasive computing and communications
The Internet of Things: A survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
An Integral and Networked Home Automation Solution for Indoor Ambient Intelligence
IEEE Pervasive Computing
Look Back before Leaping Forward: Four Decades of Domestic Energy Inquiry
IEEE Pervasive Computing
Survey of Wireless Indoor Positioning Techniques and Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A Reciprocal and Extensible Architecture for Multiple-Target Tracking in a Smart Home
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Advances in Cognitive Information Systems
Advances in Cognitive Information Systems
An Indoor Localization Mechanism Based on RFID and IR Data in Ambient Intelligent Environments
IMIS '12 Proceedings of the 2012 Sixth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing
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Smart Buildings aim to provide users with seamless, invisible and proactive services adapted to their preferences and needs. These services can be offered intelligently by means of considering the static and dynamical status of the building and the location of its occupants. Furthermore, gathering data about the identity and location of users enables to provide more personalized services, while wasted energy in overuse is reduced. But to cope with these objectives, it is necessary to acquire contextual information, both from users and the environment, using nonintrusive, ubiquitous and cheap technologies. In this work, we propose a low-cost and nonintrusive solution to solve the indoor localization problem focused on satisfying the requirements, in terms of accuracy in localization data, to provide customized comfort services in buildings, such as climate and lighting control, or security, with the goal of ensuring users comfort while saving energy. The proposed localization system is based on RFID (Radio-Frequency Identification) and IR (Infra-Red) data. The solution implements a Radial Basis Function Network to estimate the location of occupants, and a Particle Filter to track their next positions. This mechanism has been tested in a reference building where an automation system for collecting data and controlling devices has been setup. Results obtained from experimental assessments reveal that, despite our localization system uses a relative low number of sensors, estimated positions are really accurate considering the requirements of precision to provide user-oriented pervasive services in buildings.