Transactions of the Korean Society of Mechanical Engineers A (대한기계학회논문집A)

The Korean Society of Mechanical Engineers (대한기계학회)
권호 표지
DOI QR코드

DOI QR Code

System for Real-Time Analysis of Body Posture of Home Inhabitant by Using a Tilt Sensor

기울기 센서를 이용한 홈 거주자의 실시간 자세분석 시스템

  • Cha, Joo-Heon (School of Mechanical System Engineering, Kookmin Univ.) ;
  • Jun, Sung (Dept. of Mechanics and Design, Graduate School of Kookmin Univ.)
  • 차주헌 (국민대학교 기계시스템공학부) ;
  • 전성 (국민대학교 대학원 기계설계학과)
  • Received : 2010.05.11
  • Accepted : 2010.11.18
  • Published : 2011.02.01
Download PDF
⟨ Previous Next ⟩

Abstract

A smart home provides services that its inhabitant needs or wants, by integrating and simultaneously controlling various devices and sensors. In this study, we focused on a smart-home system for people with disabilities and for elderly people. We introduced a new type of system for real-time analysis of body posture of the inhabitants of a smart home. The system includes the concept that offers remote healthcare or medical services by using a 3D tilt sensor for recognizing the static and dynamic postures of inhabitants in real time. It consists of a smart-home server and a 3D tilt sensor, and it uses wireless technology to communicate with the inhabitants and thus enhance their mobility. The smart-home server includes the inference engine that differentiates the dynamic postures from the static ones. Finally, we also demonstrate the usefulness of the proposed system by applying it to a real environment.

스마트 홈은 다양한 기기들과 센서들을 통합하여 제어함으로써 거주자가 필요로 하는 서비스를 제공한다. 본 논문에서는 장애자들과 노인들을 위한 스마트 홈 시스템에 초점을 두고 있으며, 스마트 홈 거주자를 위한 새로운 방식의 실시간 자세분석 시스템을 제안한다. 본 시스템은 3 차원 기울기 센서를 이용하여 거주자의 정적인 자세와 동적인 자세를 실시간으로 인식함으로써, 원격에서의 건강관리 및 의료 서비스를 제공하는 개념을 포함한다. 본 시스템은 스마트 홈 서버와 3 차원 기울기 센서로 구성되며, 이들 상호간 통신과 이동성 증진을 위해 무선 기술이 적용되었다. 스마트 홈 서버는 정적 자세로부터 동적 자세를 추출하는 추론엔진을 포함하고 있다. 끝으로 본 논문에서 제안한 시스템을 실제 환경에 적용하여 그 유효성을 확인한다.

Keywords

References

  1. Axisa, F., Schmitt, P. M., Gehin, C., Delhomme, G., McAdams, E. and Dittmar, A., 2005, "Flexible Technologies and Smart Clothing for Citizen Medicine, Home Healthcare, and Disease Prevention,” IEEE. https://doi.org/10.1109/TITB.2005.854505
  2. Stefanov, D. H., Bien, Z. and Bang, W.-C., 2004, "The Smart House for Older Persons and Persons With Physical Disabilities: Structure, Technology Arrangements, and Perspectives,” IEEE. https://doi.org/10.1109/TNSRE.2004.828423
  3. Noury, N., Virone, G. and Creuzet, T., 2003, "New Trends in Health Smart Homes,” IEEE. https://doi.org/10.1109/HEALTH.2003.1218728
  4. Kim, M. and Chung, Y., 2008, "A Design of Healthcare Zone-Service System Based Indoor Seamless Positioning using Wireless Access Point,” Korean Society for Internet Information, Vol.9, No.1, pp.493-497.
  5. Noury, N., Virone, G. and Creuzet, T., 2002, "The Health Integrated Smart Home Information System(HIS2) : Rules Based System For The Localization of a Human,” Proc. 2nd Conf. IEEE-EMBS on Microtechnologies in Medicine and Biology, pp.319-321.
  6. Bhorbel, M., Segarra, M.-T. and Mokhtari, M., 2004, "Networking and Communication In Smart Home for People with Disabilities,” ICCHP.
  7. Warren, S., Yao, J. and Lebak, J., 2004, "Reconfiguable Point-of-Care System Designed with Interoperability Standard,” IEEE- EMBS.
  8. Helal, S., Winkler, B. and Lee, C., 2003, Youssef Kaddoura, Lisa Ran, Carlos Giraldo, Sree Kuchibhotla, William Mann, "Enabling Location-Aware Pervasive Computing Applications for the Elderly,” IEEE. https://doi.org/10.1109/PERCOM.2003.1192785
  9. Sogo, T., Ishiguro, H. and Trivedi, M. M., 2004, "Real-Time Human Tracking System with Multiple Omnidirectional Vision Sensors,” System and Computer in Japan.
  10. Bien, Z., Park, K.-H., Bang, W.-C. and Stefanov, D. H., 2002, "LARES: An Intelligent Sweet Home for Assisting Older Persons and Handicapped,” in Proc. 1st Cambridge Workshop Universal Access and Assistive Technology, Cambridge, U.K., pp.43-46.
  11. Lee, D.-G., Lee, K.-J., Whanbo, T.-K. and Lim, H.-K., 2006, “Human Behavior Analysis and Remote Emergency Detection System Using the Neural Network,” The Journal of the Korea Contents Association, Vol. 6, No. 9, pp. 50-59.
  12. http://kamje.or.kr/term/index.php

Cited by

  1. Posture and Space Recognition System Using Multimodal Sensors vol.39, pp.6, 2015, https://doi.org/10.3795/KSME-A.2015.39.6.603