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User Identification and Entrance/Exit Detection System for Smart Home

지능형 홈을 위한 사용자 식별 및 출입 감지 시스템

  • Published : 2008.03.01

Abstract

This paper presents a sensing system for smart home which can detect an location transition events such as entrance/exit of a member and identify the user in a group at the same time. The proposed system is compose of two sub-systems; a wireless sensor network system and a database server system. The wireless sensing system is designed as a star network where each of sensing modules with ultrasonic sensors and a Bluetooth RF module connect to a central receiver called Bluetooth access point. We propose a method to discriminate a user by measuring the height of the user. The differences in the height of users is a key feature for discrimination. At the same time, the each sensing module can recognize whether the user goes into or out a room by using two ultrasonic sensors. The server subsystem is a sort of data logging system which read the detected event from the access point and then write it into a database system. The database system could provide the location transition information to wide range of context-aware applications for smart home easily and conveniently. We evaluate the developed method with experiments for three subjects in a family with the installation of the developed system into a real house.

Keywords

References

  1. 지경용 외 16인, "유비쿼터스 시대의 보건 의료," 진한 M&B, 2006
  2. E. Dishman, "Inventing wellness systems for aging in place," IEEE Computer Magazine, pp.34-41, May 2004
  3. E. D. Mynatt, A.-S. Melenhorst, A. D. Fisk, and W. A. Rogers, "Aware technologies for aging in place: Understanding user needs and attitudes," IEEE Pervasive Computing, pp. 36-41, April-June 2004
  4. M.Ogawa, et. al., "Long-term remote behavior monitoring of the elderly using sensors installed in domestic houses," in Proc. of the Second Joint EMBS/BMES Conference, pp.1853-1854, Oct. 2002
  5. T. S. Barger, D. E. Brown, and M. Alwan, "Health-status monitoring through analysis of behavioral patterrns," IEEE Trans. on Sys. Man and Cyb.-Part A, vol. 35, no. 1, pp. 22-27, Jan. 2005 https://doi.org/10.1109/TSMCA.2004.838474
  6. J. Hightower and G. Borriello, "Location systems for ubiquitous computing," Computer, vol. 34, no. 8, pp. 57-66, IEEE Computer Society Press, Aug. 2001
  7. A. Ward, A. Jones, A. Hopper, "A new location technique for the active office." IEEE Personal Communications, vol. 4, no. 5, pp. 42-47, October 1997
  8. Ubisense, http://www.ubisense.net/
  9. 하경남, 이경창, 이 석, "스마트 홈을 위한 PIR 센서 기반 댁내 위치 인식 시스템 개발," Journal of Control, Automation, and System Eng., vol. 12, no. 9, pp. 905-911, September 2006 https://doi.org/10.5302/J.ICROS.2006.12.9.905
  10. R. J. Orr and G. D. Abowd, "The smart floor: a mechanism for natural user identification and Computing Systems (CHI2000)," April 2000
  11. P. Bahl and V. Padmanabhan, "RADAR: an in-building RF-based user location and tracking system," Proc. of IEEE INFOCOM, pp. 775-784, March 2000
  12. V. Otasason, A/Varshavsky, A. LaMarca, and E. Lara, "Accurate GSM Indoor Localization," The 7th Int'l Conf., Ubiquitous Computing (UbiComp 2005), pp. 141- 158, Sep. 2005
  13. 이선우, 김종완, "초음파 센서를 사용한 사용자 식별 및 출입 감지 시스템," in Proc. HCI 2006, 한국정보과 학회, 평창, pp. 660-665, February 2006
  14. 이선우 "무선 센서 네트워크 기반 사용자 구별 및 출 입 감지 시스템," in Proc. HCI 2007, 한국정보과학회, 평창, pp. 455-460, February 2007