Earticle

초록

영어

Dempster-Shafer Evidence Theory(DST) enables multi-sensor data fusion, which makes it possible to infer the context. In this paper, we propose about how to use multi-sensor data fusion to infer context in the dynamic circumstances. Dynamic circumstance means a changing of the situation or the surrounding itself, and particularly signifies that there is a changeable factor in a specific environment. It is measures to recognize an expected situation of a moving object’s approach, contact and collision in advance. While pre-existing context inference method using Dempster-Shafer evidence theory considered belief and uncertainty at the same time, in this paper, we propose the measures that focus on change of belief. Because in dynamic circumstances, It can be an alternative of no necessity of checking uncertainty that repetitive estimating of belief in the lapse of time. With this, we can apply to recognizing a situation that rapidly proceeds as time passes.

목차

Abstract
 1. Introduction
 2. Previous Works
 3. Multi-sensor Data Fusion with Dynamic Components
  3.1 Multi-sensor data fusion using DST
  3.2Multi-sensor data fusion with dynamic component
 4. Experiment and Evaluation
 5. Conclusion.
 Acknowledgements
 References

키워드

저자

• Young-Oh Han [ Department of Electronics, Namseoul University ]
• Donghyok Suh [ Department of Multimedia Communication, Far East University, South Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Smart Home

• 간기

  격월간

• pISSN

  1975-4094

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605