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

2009; Institute of Electrical and Electronics Engineers; Volume: 39; Issue: 2 Linguagem: Inglês

10.1109/tsmcc.2008.2008099

1558-2442

Hyun-Hee Kim, Kyoung Nam Ha, Suk Lee, Kyung-Chang Lee,

IoT-based Smart Home Systems

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.