원문정보
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
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