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Interior Location Services Based Emergency Call System

실내 위치 서비스 기반 긴급 호출 시스템

  • Kim, Doan (Department of Computer Engineering, Paichai University) ;
  • Kim, Yongkuk (Department of Computer Engineering, Paichai University) ;
  • Jung, Hoekyung (Department of Computer Engineering, Paichai University)
  • Received : 2018.09.26
  • Accepted : 2018.10.01
  • Published : 2019.02.28

Abstract

In this paper, we propose an emergency call system which makes a call to an institution or a guardian when an urgent case occurs to a user based on the indoor location service. In addition, it establishes indoor location service infrastructure assuming welfare institutions and hospitals. The proposed system receives the sensor value from the device that is in the form of a clock on the wrist and determines the emergency situation and delivers emergency information to the terminal. The location terminal transmits location and emergency information to the server, and the server accesses the database and stores the data. This enables the caregiver to communicate with the server through the application, monitor the user's status, receive notifications, and respond to emergency situations by using the emergency call function. If the proposed system is applied to the fields requiring urgent action such as medical field and welfare field, it will provide more stable and prompt emergency service to users and carers.

본 논문에서는 실내 위치 서비스를 기반으로 사용자에게 긴급한 일이 생겼을 경우 기관이나 보호자에게 호출을 해주는 긴급 호출 시스템을 제안한다. 또한 이를 통해 복지 기관 및 병원을 대상으로 가정하여 실내 위치 서비스 인프라를 구축한다. 제안하는 시스템은 손목에 시계 형태로 되어 있는 디바이스로부터 센서 값을 받아 긴급 상황을 판별한 후 긴급 정보를 위치 단말기에 전달한다. 위치 단말기는 위치와 긴급 정보를 포함하여 서버로 전송하고 서버는 데이터베이스에 접근하여 데이터를 저장한다. 이를 통해 보호자는 어플리케이션으로 서버와 통신하면서 사용자의 상태를 모니터링하고 알림을 받으며 긴급한 상황에 긴급 호출기능을 사용하여 대처할 수 있다. 제안하는 시스템을 의료 분야와 복지 분야 등 긴급한 대처가 필요한 분야에 접목한다면 사용자와 보호자에게 좀 더 안정적이고 신속한 긴급 서비스를 제공할 것으로 사료된다.

Keywords

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Fig. 1 Pattern Analysis Geomagnetic Sensor

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Fig. 2 Relationship .Flow between Device and Terminal

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Fig. 4 Main Server Structure Diagram

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Fig. 3 System Configuration Diagram

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Fig. 5 Database Structure

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Fig. 6 Algorithm Flowchart

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Fig. 7 Main Page and Add Device Page

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Fig. 8 Prototype Device Configuration Environment

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Fig. 9 Emergency Detection Notification

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Fig. 10 Emergency Monitoring Screen

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Fig. 11 Black Out Data Set

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Fig. 12 Average Error Graph Including Conditions

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