Journal of the Korean Institute of Intelligent Systems (한국지능시스템학회논문지)

Korean Institute of Intelligent Systems (한국지능시스템학회)
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Context-aware application for smart home based on Bayesian network

베이지안 네트워크에 기반한 스마트 홈에서의 상황인식 기법개발

  • 정우용 (연세대학교 전기전자공학과) ;
  • 김은태 (연세대학교 전기전자공학과)
  • Published : 2007.04.25
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Abstract

This paper deals with a context-aware application based on Bayesian network in the smart home. Bayesian network is a powerful graphical tool for learning casual dependencies between various context events and obtaining probability distributions. So we can recognize the resident's activities and home environment based on it. However as the sensors become various, learning the structure become difficult. We construct Bayesian network simple and efficient way with mutual information and evaluated the method in the virtual smart home.

본 논문은 스마트 홈에서 베이지안 네트워크에 기반을 둔 보편성을 가지는 상황인식 시스템의 구현방법을 제안한다. 베이지안 네트워크는 각 센서정보를 바탕으로 거주자의 활동 및 스마트 홈의 상황에 대한 추론을 확률적으로 접근하는데 매우 유용한 수단이다. 하지만 센서 정보와 활동정보가 다양해짐에 따라 기존의 방법으로는 베이지만 네트워크를 구성하기가 힘들다. 따라서 본 논문에서는 상호정보를 통하여 보다 효율적으로 베이지안 네트워크를 구성하도록 하며, 시뮬레이션을 통하여 자료 취득하고 그에 따른 거주자의 활동인식의 결과를 보인다.

Keywords

References

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