Resident Location-Recognition Algorithm Using a Bayesian Classifier in the PIR Sensor-Based Indoor Location-Aware System

Intelligent home service systems consist of ubiquitous sensors, a home network, and a context-aware computing system that together collect residential environment information and provide intelligent services such as controlling the environment or lighting. Determining a resident's location in t...

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Bibliographic Details
Published in:IEEE transactions on human-machine systems 2009-03, Vol.39 (2), p.240-245
Main Authors: Hyun Hee Kim, Hyun Hee Kim, Kyoung Nam Ha, Kyoung Nam Ha, Suk Lee, Suk Lee, Kyung Chang Lee, Kyung Chang Lee
Format: Article
Language:English
Subjects:
Algorithms
Applied sciences
Artificial intelligence
Bayesian analysis
Bayesian classifier
Bayesian methods
Classifiers
Computer science
control theory
systems
Computer systems and distributed systems. User interface
Context-aware services
Control systems
Cybernetics
Exact sciences and technology
Feasibility
Home automation
Illumination
Indoor
Infrared
Intelligent networks
Intelligent sensors
Intelligent systems
Lighting control
location-based service
location-recognition algorithm
pyroelectric infrared (PIR) sensor-based indoor location-aware system (PILAS)
Sensor systems
smart home
Smart homes
Software
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Summary:Intelligent home service systems consist of ubiquitous sensors, a home network, and a context-aware computing system that together collect residential environment information and provide intelligent services such as controlling the environment or lighting. Determining a resident's location in the smart home or smart office is a key to such a system. This correspondence presents an enhanced location-recognition algorithm using a Bayesian classifier for the pyroelectric infrared sensor-based indoor location-aware system that is a nonterminal-based location-aware system proposed in a previous paper. This correspondence compares the conventional and enhanced location-recognition algorithms and their performance. The feasibility of the system is evaluated experimentally on a test bed.
ISSN:1094-6977
2168-2291
1558-2442
2168-2305
DOI:10.1109/TSMCC.2008.2008099