[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.5391/IJFIS.2006.6.3.197

Activity Recognition Using Sensor Networks

Lee Jae-Hun (C613, School of Electrical and Electronic Engineering, Yonsei University)
Lee Byoun-Gyun (C613, School of Electrical and Electronic Engineering, Yonsei University)
Chung Woo-Yong (C613, School of Electrical and Electronic Engineering, Yonsei University)
Kim Eun-Tai (C613, School of Electrical and Electronic Engineering, Yonsei University)

Publication Information

International Journal of Fuzzy Logic and Intelligent Systems / v.6, no.3, 2006 , pp. 197-201 More about this Journal

Abstract

In the implementation of a smart home, activity recognition technology using simple sensors is very important. In this paper, we propose a new activity recognition method based on Bayesian network (BN). The structure of the BN is learned by K2 algorithm and is composed of sensor nodes, activity nodes and time node whose state is quantized with reasonable interval. In the proposed method, the BN has less complexity and provides better activity recognition rate than the previous method.

Keywords

Bayesian Network; Smart home; Context-aware; K2-algorithm; Activity recognition;

Citations & Related Records

Reference

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