The Transactions of The Korean Institute of Electrical Engineers (전기학회논문지)

The Korean Institute of Electrical Engineers (대한전기학회)
권호 표지
DOI QR코드

DOI QR Code

Estimation of the Sensor Location and the Step for Personal Navigation System

개인 항법 시스템을 위한 센서 위치와 보폭 추정 알고리즘

  • Received : 2010.06.11
  • Accepted : 2010.10.08
  • Published : 2010.11.01
Download PDF
⟨ Previous Next ⟩

Abstract

This paper presents the sensor location and step estimation algorithm for personal navigation system (PNS). PNS has the disadvantage in that the position of the sensor must be fixed on a human body. Three-axis acceleration sensor is used to solve the disadvantage and to consider the real situation. We simplify the measurement data by using the band pass filter, witch It has the advantage in the detection of characteristic point. Through the detected characteristic points, it is possible to setup the parameter for the pattern detection. Depending on the sensor location, the parameters have the different type of noise covariance. Particularly, when the position of the sensor is changed, the impulse noise shows up. Considering the noise, we apply the recursive least square algorithm using the variable forgetting factors, which can classify the sensor location based on the estimated parameters. We performed the experiment for the verification of the proposed algorithm in the various environments. Through the experimental results, the effectiveness of the proposed method is verified.

Keywords

References

  1. 홍일영, "위치 기반 서비스의 새로운 희망, WPS : 차량 내비게이션시대에서 보행자 내비게이션시대로," SW insight 정책리포트 46호, pp. 36-52, Aug. 2009.
  2. L. Fang, P. J. Antsaklis and X. Xie, "Design of a Wireless Assisted Pedestrian Dead Reckoning System The NavMote Experience," IEEE Trans. on Instrumentation and Measurement, vol. 54, no. 6, pp. 2342-2358, Dec. 2005. https://doi.org/10.1109/TIM.2005.858557
  3. K. Yu, J. Montillet, A. Rabbachin, P. Cheong and I. Oppermann, "UWB Location and Tracking for Wireless Embedded Networks," Signal Processing, vol. 86, no. 9, pp. 2153-2171, Sep. 2006. https://doi.org/10.1016/j.sigpro.2005.07.042
  4. F. J. Gonzalez-Castano and J. Garcia-Reinoso, "Survivable Bluetooth Location Networks," In Proc. IEEE International Conf. on Communications, vol. 2, pp. 1014-1018, 2003.
  5. S. Feldmann, K. Kyamakya, A. Zapater and Z. Lue, "An Indoor Bluetooth-Based Positioning System : Concept, Implementation and Experimental Evaluation," International Conf. on Wireless Networks, pp. 109- 113, Jun. 2003.
  6. Z. Xiang, S Song, J. Chen, H. Wang, J. Huang and X. Gao, "A Wireless LAN-Based Indoor Positioning Technology," IBM Journal of Research and Development Development, vol. 48, no. 5, pp. 617-626, Sep. 2004. https://doi.org/10.1147/rd.485.0617
  7. D. Villanueva, A. Trujillo, E. Fermon, E. Cardiel, and P. Hedz, "Method for Monitoring Acceration of the Trunk During Gait," In Proc. of the Second Joint EMBS/BMES Conf., vol. 2, pp. 1758-1759, Oct. 2002.
  8. B. Auvinet, D. Chaleil and E. Barrey, "Accelerometric gait analysis for use in hospital outpatients," Rev. Rhum. Engl. Ed. vol. 66, pp. 389-397, Jul. 1999.
  9. 장한진, 김정원, 황동환, "지면 변화 및 보행 형태에 강인한 개인 항법 시스템용 걸음수 검출기 설계," 전기학회 논문지, 55권, 9호, pp. 420-422, Sep. 2006.
  10. L. Ojeda and J. Borenstein, "Personal Dead- Reckoning System for Gps-Denied Environments," IEEE International Workshop on Safety, Security and Rescue Robotics, pp. 1-6, Sep. 2007.
  11. C. D. Cliff Randell and H. L. Muller, "Personal Position Measurement Using Dead Reckoning," In Proc. of the Seventh International Symposium on Wearable Computers, pp. 166-173, Oct. 2003.
  12. S. Beauregard and H. Haas, "Pedestrian Dead Reckoning: A Basis for Personal Positioning," In Proc. of the 3rd Workshop on Positioning, Navigation and Communication, pp. 27-36, 2006.
  13. S. W. Lee and K. Mase, "Activity and Location Recognition Using Wearable Sensors," IEEE Pervasive Computing, vol. 1, no. 3, pp. 24-32, 2002. https://doi.org/10.1109/MPRV.2002.1037719
  14. D. G. Childers, J. C. Principle, and Y. T. Ting, "Adaptive WRLS-VFF for Speech Analysis," IEEE Trans. Speech and Audio Processing, vol. 3, no. 3, pp. 209-213, May. 1995. https://doi.org/10.1109/89.388148
  15. D. G. Childers, J. C. Principle, and Y. T. Ting, "A Robust Variable Forgetting Factor Recursive Least-Squares Algorithm for System Identification," IEEE Signal Processing Letters, vol. 15, pp. 597-600, 2008. https://doi.org/10.1109/LSP.2008.2001559
  16. 김남진, 홍주현, 이태수, "보행 패턴 검출을 위한 동작 센서 데이터 정규화 알고리즘," 한국콘텐츠학회논문지, 5권, 4호, pp. 94-102, Aug. 2005