Earticle

초록

영어

To understand whether Falling, which is one of the causes of injuries, occurs, various behavior recognition research is proceeding. However, in most research recognize only the fact that Falling has occurred and provide the service. As well as the occurrence of the Falling, the risk varies greatly based on the type of Falling and the situation before and after the Falling. Therefore, when Falling occurs, it is necessary to infer the user's current situation and provide appropriate services. In this paper, we propose to base on Fog Computing and Cloud Computing to design Context-aware System using analysis of behavior data and process sensor data in real-time. This system solved the problem of increase latency and server overload due to large capacity sensor data.

목차

Abstract
 1. Introduction
 2. Related Works
  2.1 Behavior Recognition System
  2.2 Fog Computing
  2.3 Context-aware Technology
 3. Proposed System
  3.1 Context-aware Manager
  3.2 Proposed System Architecture
  3.3 System Flow
 4. Conclusion
 References

키워드

저자

• TaeWoo Kwon [ Department of Information System Kwangwoon University GraduateSchool of Information Contents, 20 Kwangwoon-ro, Nowon-gu, Seoul 139-701, Korea ]
• Jong-Yong Lee [ Ingenium College of liberal arts, Kwangwoon University, 20 Kwangwoon-ro, Nowon- gu, Seoul 139-701, Korea ]
• Kye-Dong Jung [ Ingenium College of liberal arts, Kwangwoon University, 20 Kwangwoon-ro, Nowon- gu, Seoul 139-701, Korea ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Internet, Broadcasting and Communication

• 간기

  계간

• pISSN

  2288-4920

• eISSN

  2288-4939

• 수록기간

  2009~2025

• 십진분류

  KDC 326 DDC 380