DOI QR코드

DOI QR Code

A Study on Construction of IoT Environment for ICT- based Information Support

AIP 정보 확장 지원을 위한 IoT 환경 구축에 관한 연구

  • Sim, Sung-Ho (School of Information and Communication Sciences, Semyung University)
  • 심성호 (세명대학교 정보통신학부)
  • Received : 2018.10.29
  • Accepted : 2018.12.20
  • Published : 2018.12.31

Abstract

There have been various studies being conducted to prepare for aging society due to the recent trend of rapid aging. The silver industry such as wellness, senior monitoring and support service, and emergency medical assistance services for the elderly is growing fast. However, due to economic problems, limited services are being provided. In addition, the problem of residence of elderly people and care of elderly patients are also becoming important issues to be solved. Aging in Place is emerging as an alternative to solve the problem of local deviation, controlled communication, and loss of self-sufficiency in the process of residents residing in the facility. In this paper, we propose IoT environment construction for ICT based Aging in Place information extension support. By building an IoT environment for Aging in Place support, users can be provided with services that can meet their needs in a familiar environment. The proposed method builds an environment that can be self-supporting based on the user's information and provides medical, transportation, and life support services for the elderly.

최근 급속한 고령화로 인해 고령사회에 대비하는 다양 한 연구가 진행 되고 있다. 증가하는 노년층을 위한 실버산업으로 웰니스, 독거노인 모니터링 및 지원 서비스, 응급 의료 지원 서비스가 성장하고 있지만 경제적 문제로 인해 부분적으로 제공 되고 있다. 또한 고령사회의 문제로 노년층의 거주 문제와 고령 환자의 돌봄 문제도 해결되어야 할 중요한 문제로 부각되고 있다. Aging in Place는 시설 거주에서 나타나는 지역이탈, 통제적 커뮤니케이션, 자립 상실의 문제를 해결하기 위한 대안으로 부상하고 있다. 본 논문에서는 ICT 기반 Aging in Place 정보 확장 지원을 위한 IoT 환경 구축을 제안한다. Aging in Place 지원을 위한 IoT 환경 구축을 통해 사용자는 익숙한 환경에서 노후를 맞을 수 있는 서비스를 제공 받을 수 있다. 제안 방법은 이용자의 정보를 기반으로 자립 할 수 있는 환경을 구축하고 고령자를 위한 의료, 교통, 생활지원 서비스를 제공한다.

Keywords

JKOHBZ_2018_v8n6_251_f0001.png 이미지

Fig. 1. Change in Welfare Services

JKOHBZ_2018_v8n6_251_f0002.png 이미지

Fig. 2. General IoT layer Architecture

JKOHBZ_2018_v8n6_251_f0003.png 이미지

Fig. 3. IoT System for AIP information extension support

JKOHBZ_2018_v8n6_251_f0004.png 이미지

Fig. 4. Data Analyzer Configuration diagram

JKOHBZ_2018_v8n6_251_f0005.png 이미지

Fig. 5. Service Manager Configuration diagram

References

  1. Centers for Disease Control (2012). Health Places Terminology. https://www.cdc.gov/healthyplaces/terminology.htm
  2. D. H. Nam & K. N. Lim. (2007). System Requirements and UseCase for Mobility Impared People. The Journal of Korean Institute of Transport Systems, 6(1), 58-71.
  3. Y. S. Jung. (2010). Implementation Plan of Integrated Medical Information System for Ubiquitous Healthcare Service. Korea Society of Industrial Information Systems, 15(2), 115-126.
  4. J. H. Park. (2008). Study of Ubiquitous healthcare sevice using RFID and Sensor network. The Journal of Korean Institute of Communications and Information Sciences, 33(12), 467-472
  5. J. T. Kim & Y. M. Kwon. Ubiquitous u-Health System using RFID & ZigBee. Journal of the institute of Electronics Engineers of Korea, 43(1), 79-88.
  6. M. Chan, D. Esteve & E. Campo. (2008). A review of smart homes-Present state and guture challenges. Computer Methods and Programs in Biomedicine, 91(1), 55-81. https://doi.org/10.1016/j.cmpb.2008.02.001
  7. T. Botsis & G. Hartvigsen. (2008). Current status and future Perspectives in telecare for elderly people suffering from chronic diseases. Journal of Telemedicine and Telecare, 14(4), 195-203. https://doi.org/10.1258/jtt.2008.070905
  8. T. Kleinberger, M. Becker, E. Ras, A. Holzinger & P. Muller. (2007). Ambient Intelligence in Assisted Living:Enable Elderly People to Handle Future Interfaces. In Proceedings of the International Conference On Universal Acess in Human-Computer Interaction, 103-112.
  9. S. Haller, S. Karnouskos & C. Schroth. (2009). The Internet of Thing sin an Enterprise Context. FUTURE INTERNET-FIS, 5468, 14-28.
  10. International Telecommunication Union. (2013). ITU Internet Reports 2005: The Internet of Things. http://handle.itu.int/11.1002/pub/800eae6f-en
  11. Y. S. Jeong. (2017). Subnet Generation based on Deep Learning for Healthcare Information Gathering. Journal of Digital convergence, 15(3), 221-228. https://doi.org/10.14400/JDC.2017.15.3.221
  12. K. D. Marek. & M. J. Rantz. (2000). Aging in Place: a New Model for Long Term Care. Nurs Admin Q, 24, 1-11.
  13. E. Dishman. (2004). Inventing wellness systems for aging in place, IEEE Computer Society-Computer, 37(5), 34-41.
  14. H. S. Kang. (2017). Planning on the Elderly Space in Public Rental aparments Housing Community facility considering Aging in Place. Journal of the Korean Housing association, 28(4), 55-63. https://doi.org/10.6107/JKHA.2017.28.4.055
  15. L. Atzori, A. Lera & G. Morabito. (2010). The Internet of Things: A Survey. Computer Networks, 54(15), 2787-2805. https://doi.org/10.1016/j.comnet.2010.05.010
  16. D. Bandyopadhyay & J. Sen. (2011). Internet of Things: Applications and Challenges in Technology and Standardization. Wireless Personal communications, 58(1), 49-69. https://doi.org/10.1007/s11277-011-0288-5