A Study on the Feasibility of IoT and AI-based elderly care system application

  • KANG, Minsoo (Department of Bigdata medical convergence, Eulji University) ;
  • KIM, Baek Seob (Department of AI/Platform, Telefield) ;
  • SEO, Jin Won (Department of AI/Platform, Telefield) ;
  • KIM, Kyu Ho (Department of Medical IT, Eulji University)
  • 투고 : 2021.08.15
  • 심사 : 2021.12.05
  • 발행 : 2021.12.30


This paper conducted a feasibility study by applying an Internet of Things and Artificial intelligence-based management system for the elderly living alone in an aging society. The number of single-person families over the age of 50 is expected to increase, and problems such as health, safety, and loneliness may occur due to aging. Therefore, by establishing an IoT-based care system for the elderly living alone, a stable service was developed through securing a rapid response system for the elderly living alone and automatically reporting 119. The participants of the demonstration test were subjects under the jurisdiction of the "Seongnam Senior Complex," and the data collection rate between the IoT sensor and the emergency safety gateway was high. During the demonstration period, as a result of evaluating the satisfaction of the IoT-based care system for the elderly living alone, 90 points were achieved. We are currently in the COVID-19 situation. Therefore, the number of elderly living alone is continuously increasing, and the number of people who cannot benefit from care services will continue to occur. Also, even if the COVID-19 situation is over, the epidemic will happen again. So the care system is essential. The elderly care system developed in this way will provide safety management services based on artificial intelligence-based activity pattern analysis, improving the quality of in-house safety services.



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