This paper describes a context extraction framework for a mobile device that equips a variety of sensors. The framework captures context about a user and her surrounding environment; the information is used to adapt the behavior of applications running on the mobile device. Our framework adopts the blackboard architecture to execute multiple analysis modules that analyze signals from respective sensors. Respective modules implement different algorithms to complement each other's results to retrieve accurate high-level context. Based on experiments with a sample application, we evaluate the feasibility of the framework and point out the possibilities and limitations of context extraction in mobile devices.
목차
Abstract 1. Introduction 2. Context extraction with mobile devices 2.1. Related work 3. Preliminary experiments with Muffin 3.1. Muffin: a multi-sensory personal device 3.2. Context-awareness on Muffin 3.3. Design issues in context extraction process 4. Citron: context information acquisition framework for Muffin 4.1. System architecture 4.2. Context representation 4.3. Implementation 5. Sample application 6. Evaluation 6.1. Performance 6.2. Experiences with the sample application 7. Conclusion Acknowledgement References Authors
보안공학연구지원센터(IJMUE) [Science & Engineering Research Support Center, Republic of Korea(IJMUE)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Multimedia and Ubiquitous Engineering
간기
월간
pISSN
1975-0080
수록기간
2008~2016
등재여부
SCOPUS
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Multimedia and Ubiquitous Engineering Vol.4 No.4