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논문검색

Design of Falling Context-aware System based on Notification Service using Location Information and Behavior Data

초록

영어

The majority of existing falling recognition techniques provide service by recognizing only that the falling occurred. However, it is important to recognize not only the occurrence of falling but also the situation before and after the falling, as well as the location of the falling. In this paper, we design and propose the falling notification service system to recognize and provide service. This system uses the acceleration sensor of the smartphone to recognize the occurrence of a falling and the situation before and after the falling. In order to check the location of falling, GPS sensor data is used in the Google Map API to map to the map. Also, a crosswalk map converted into grid-based coordinates based on the longitude and latitude of the crosswalk is stored, and the locations before and after falling are mapped. In order to reduce the connection speed and server overload for real-time data processing, fog computing and cloud computing are designed to be distributed processing.

목차

Abstract
 1. Introduction
 2. Related Works
  2.1 Behavior Recognition Technology
  2.2 Fog Computing
 3. Design the Proposed System
  3.1 System Overview
  3.2 System Flow
 4. Example of Proposed System
  4.1 System Scenario
  4.2 System Interface
 5. Conclusion
 Acknowledgement
 References

저자정보

  • TaeWoo Kwon Department of Information System, KwangWoon University Graduate School of Smart
  • Daepyo Lee Department of Information System, KwangWoon University Graduate School of Smart
  • Jong-Yong Lee Ingenium College of liberal arts, KwangWoon University
  • Kye-Dong Jung Ingenium College of liberal arts, KwangWoon University

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