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Journal of Sensors
Volume 2017, Article ID 6091261, 10 pages
https://doi.org/10.1155/2017/6091261
Research Article

Pedestrian Stride Length Estimation from IMU Measurements and ANN Based Algorithm

Engineering Research Center for Navigation Technology, Department of Precision Instruments, Tsinghua University, Beijing 100084, China

Correspondence should be addressed to Meifeng Guo; nc.ude.auhgnist.liam@fmoug

Received 21 August 2016; Revised 24 December 2016; Accepted 15 January 2017; Published 9 February 2017

Academic Editor: Andrea Cusano

Copyright © 2017 Haifeng Xing et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. J. H. Ryu, G. Gankhuyag, and K. T. Chong, “Navigation system heading and position accuracy improvement through GPS and INS data fusion,” Journal of Sensors, vol. 2016, Article ID 7942963, 6 pages, 2016. View at Publisher · View at Google Scholar · View at Scopus
  2. C. J. Mather, P. D. Groves, and M. R. Carter, “A man motion navigation system using high sensitivity GPS, MEMS IMU and auxiliary sensors,” in Proceedings of the Institute of Navigation-19th International Technical Meeting of the Satellite Division (ION GNSS '06), pp. 2704–2714, September 2006. View at Scopus
  3. T. H. Riehle, S. M. Anderson, P. A. Lichter, W. E. Whalen, and N. A. Giudice, “Indoor inertial waypoint navigation for the blind,” in Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC '13), pp. 5187–5190, Osaka, Japan, July 2013. View at Publisher · View at Google Scholar · View at Scopus
  4. L. Fang, P. J. Antsaklis, L. A. Montestruque et al., “Design of a wireless assisted pedestrian dead reckoning system—the NavMote experience,” IEEE Transactions on Instrumentation and Measurement, vol. 54, no. 6, pp. 2342–2358, 2005. View at Publisher · View at Google Scholar · View at Scopus
  5. F. Weimann, G. Abwerzger, and B. Hofmann-Wellenho, “A pedestrian navigation system for urban and indoor environments,” in Proceedings of the 20th International Technical Meeting Satellite Division of the Institute of Navigation, pp. 1380–1389, Fort Worth, Tex, USA, 2007.
  6. R. Harle, “A survey of indoor inertial positioning systems for pedestrians,” IEEE Communications Surveys & Tutorials, vol. 15, no. 3, pp. 1281–1293, 2013. View at Publisher · View at Google Scholar · View at Scopus
  7. M. Alzantot and M. Youssef, “UPTIME: ubiquitous pedestrian tracking using mobile phones,” in Proceedings of the IEEE Wireless Communications and Networking Conference (WCNC '12), pp. 3204–3209, Paris, France, April 2012. View at Publisher · View at Google Scholar · View at Scopus
  8. P. D. Groves, Principles of GNSS, Inertial, and Multisensor Integrated Navigation Systems, Artech House, Norwood, Mass, USA, 2013.
  9. S. Yang and Q. Li, “Ambulatory walking speed estimation under different step lengths and frequencies,” in Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM '10), pp. 658–663, IEEE, July 2010. View at Publisher · View at Google Scholar · View at Scopus
  10. G. Chen, X. Meng, Y. Wang, Y. Zhang, P. Tian, and H. Yang, “Integrated WiFi/PDR/smartphone using an unscented Kalman filter algorithm for 3D indoor localization,” Sensors, vol. 15, no. 9, pp. 24595–24614, 2015. View at Publisher · View at Google Scholar · View at Scopus
  11. Q. Ladetto, “On foot navigation: continuous step calibration using both complementary recursive prediction and adaptive Kalman filtering,” in Proceedings of the International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GPS '00), pp. 1735–1740, 2000.
  12. H. Leppakoski, J. Kappi, J. Syrjarinne, and J. Takala, “Error analysis of step length estimation in pedestrian dead reckoning,” in Proceedings of the in 15th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GPS '02), Portland, Ore, USA, September 2002.
  13. P. D. Groves, G. W. Pulford, C. A. Littlefield, D. L. Nash, and C. J. Mather, “Inertial navigation versus pedestrian dead reckoning: optimizing the integration,” in Proceedings of the 20th International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS '07), pp. 2043–2055, Fort Worth, Tex, USA, September 2007.
  14. Y. Zhuang, H. Lan, Y. Li, and N. El-Sheimy, “PDR/INS/WiFi integration based on handheld devices for indoor pedestrian navigation,” Micromachines, vol. 6, no. 6, pp. 793–812, 2015. View at Publisher · View at Google Scholar · View at Scopus
  15. H. Lan, C. Yu, and N. El-Sheimy, “An integrated PDR/GNSS pedestrian navigation system,” in Proceedings of the in China Satellite Navigation Conference (CSNC '15), vol. 3, pp. 677–690, Springer, April 2015.
  16. W. Chen, R. Chen, X. Chen et al., “Comparison of EMG-based and accelerometer-based speed estimation methods in pedestrian dead reckoning,” Journal of Navigation, vol. 64, no. 2, pp. 265–280, 2011. View at Publisher · View at Google Scholar · View at Scopus
  17. C. Toth, D. A. Grejner-Brzezinska, and S. Moafipoor, “Pedestrian tracking and navigation using neural networks and fuzzy logic,” in Proceedings of the IEEE International Symposium on Intelligent Signal Processing (WISP '07), pp. 1–6, Alcala de Henares, Spain, October 2007. View at Publisher · View at Google Scholar · View at Scopus
  18. R. Anacleto, L. Figueiredo, A. Almeida, P. Novais, and A. Meireles, “Pedestrian inertial navigation system with terrain characterization using information fusion,” Advanced Science and Technology Letters, vol. 97, pp. 36–41, 2015. View at Google Scholar
  19. X. Yuan, C. Liu, S. Zhang, S. Yu, and S. Liu, “Indoor pedestrian navigation using miniaturized low-cost MEMS inertial measurement units,” in Proceedings of the IEEE/ION Position, Location and Navigation Symposium (PLANS '14), pp. 487–492, May 2014. View at Publisher · View at Google Scholar · View at Scopus
  20. S. A. Hoseinitabatabaei, A. Gluhak, R. Tafazolli, and W. Headley, “Design, realization, and evaluation of uDirect-An approach for pervasive observation of user facing direction on mobile phones,” IEEE Transactions on Mobile Computing, vol. 13, no. 9, pp. 1981–1994, 2014. View at Publisher · View at Google Scholar · View at Scopus
  21. J. Qian, J. Ma, R. Ying, P. Liu, and L. Pei, “An improved indoor localization method using smartphone inertial sensors,” in Proceedings of the International Conference on Indoor Positioning and Indoor Navigation (IPIN '13), pp. 1–7, IEEE, Montbeliard, France, October 2013. View at Publisher · View at Google Scholar · View at Scopus
  22. M. Dippold, “Personal dead reckoning with accelerometers,” in Proceedings of the 3rd International Forum on Applied Wearable Computing (IFAWC '06), January 2006.
  23. P. Goyal, V. J. Ribeiro, H. Saran, and A. Kumar, “Strap-down pedestrian dead-reckoning system,” in Proceedings of the International Conference on Indoor Positioning and Indoor Navigation (IPIN '11), September 2011. View at Publisher · View at Google Scholar
  24. H. Leppäkoski, J. Collin, and J. Takala, “Pedestrian navigation based on inertial sensors, indoor map, and WLAN signals,” Journal of Signal Processing Systems, vol. 71, no. 3, pp. 287–296, 2013. View at Publisher · View at Google Scholar · View at Scopus
  25. Z.-A. Deng, G. Wang, Y. Hu, and D. Wu, “Heading estimation for indoor pedestrian navigation using a smartphone in the pocket,” Sensors, vol. 15, no. 9, pp. 21518–21536, 2015. View at Publisher · View at Google Scholar · View at Scopus
  26. J. Jahn, U. Batzer, J. Seitz, L. Patino-Studencka, and J. G. Boronat, “Comparison and evaluation of acceleration based step length estimators for handheld devices,” in Proceedings of the International Conference on Indoor Positioning and Indoor Navigation (IPIN '10), pp. 1–6, IEEE, Zurich, Switzerland, September 2010. View at Publisher · View at Google Scholar · View at Scopus
  27. Y. Jin, H.-S. Toh, W.-S. Soh, and W.-C. Wong, “A robust dead-reckoning pedestrian tracking system with low cost sensors,” in Proceedings of the 9th IEEE International Conference on Pervasive Computing and Communications (PerCom '11), pp. 222–230, March 2011. View at Publisher · View at Google Scholar · View at Scopus
  28. H. Guo, M. Uradzinski, H. Yin, and M. Yu, “Indoor positioning based on foot-mounted IMU,” Bulletin of the Polish Academy of Sciences: Technical Sciences, vol. 63, no. 3, pp. 629–634, 2015. View at Publisher · View at Google Scholar · View at Scopus
  29. Z. Sun, X. Mao, W. Tian, and X. Zhang, “Activity classification and dead reckoning for pedestrian navigation with wearable sensors,” Measurement Science and Technology, vol. 20, no. 1, Article ID 015203, 2009. View at Publisher · View at Google Scholar · View at Scopus
  30. X. Li, J. Wang, and C. Liu, “A bluetooth/PDR integration algorithm for an indoor positioning system,” Sensors, vol. 15, no. 10, pp. 24862–24885, 2015. View at Publisher · View at Google Scholar · View at Scopus