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

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4 Author(s)
Hyun Hee Kim ; Sch. of Mech. Eng., Pusan Nat. Univ., Busan ; Kyoung Nam Ha ; Suk Lee ; Kyung Chang Lee

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.

Published in:

IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews)  (Volume:39 ,  Issue: 2 )