The Journal of the Korea institute of electronic communication sciences (한국전자통신학회논문지)

Korea Institute of Electronic Communication Science (한국전자통신학회)
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Senior Emergency Management System Using Self-Learning Information Analysis

자가 학습 행동 분석 기반의 시니어 응급관리시스템

  • Received : 2021.09.05
  • Accepted : 2021.10.17
  • Published : 2021.10.31
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Abstract

With the continuous increase of the senior population, it is necessary to introduce the 4th industrial revolution applied technology into the health and welfare field. In addition, a senior emergency management system centered on Nono Care is established due to the shortage of young people, which requires strategization of a welfare delivery system in which senior colleagues notify emergency relief facilities directly in case of an emergency. In this paper, senior emergency management system is designed to collect and analyze individual activities and inactivity information through senior self-learning through smartphone app and to predict emergency situations with voice and image registration information through smartphone app menu.

시니어인구의 지속적 증가로 4차 산업혁명 응용기술이 보건복지 분야에 도입이 필요한 시점이다. 또한, 청년층 일손부족으로 노노케어 중심의 시니어 응급관리시스템이 구축되어 응급상황발생 시 시니어 동료가 응급구호 시설에 직접 통보하는 복지전달체계의 전략화가 필요하다. 본 논문에서는 시니어의 응급상황예측을 위해 스마트 앱을 통한 시니어 자가 학습으로 개별적 활동·비활동 정보를 수집분석하며, 시니어 동료가 스마트 폰 앱 메뉴를 통해 음성 및 이미지 등록정보로 응급상황을 예측하는 시니어 응급관리시스템을 설계한다.

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References

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