Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Step Length Estimation on a Slope Using Accelerometers and a Barometer

가속도계와 기압계를 이용한 경사면에서의 보행 거리 추정

  • Received : 2012.08.24
  • Accepted : 2013.03.11
  • Published : 2013.04.01
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Abstract

Using a relationship between step length and accelerometer output, step length can be estimated. In this paper, we propose a new step length estimation algorithm, which can be used both for the plane and the slope by compensating the slope angle. The slope angle is estimated using a barometer and the slope angle is compensated by observing how the slope affects the step length estimation. The proposed algorithm is verified using five adult man walking data, where the average length error is about 3% regardless of the slope.

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References

  1. A. E. Minetti, C. Moia, G. S. Roi, D. Susta, and G. Ferretti, "Energy cost of walking and running at extreme uphill and downhill slopes," Journal of Applied Physiology, vol. 93, no. 3, pp. 1039-1046, Sep. 2002. https://doi.org/10.1152/japplphysiol.01177.2001
  2. C. Hall, A. Figueroa, B. Fernhall, and J. A. Kanaley, "Energy expenditure of walking and running: comparison with prediction equations," Medicine and Science in Sports and Exercise, vol. 36, no. 12, pp. 2128-2134, Dec. 2004.
  3. M. Y. Zarrugh, F. N. Todd, and H. J. Ralston, "Optimization of energy expenditure during level walking," European Journal of Applied Physiology and Occupational Physiology, vol. 33, no. 4, pp. 293-306, 1974. https://doi.org/10.1007/BF00430237
  4. B. Lee, S. Im, M. Heo, and G. Jee, "GNSS precise positioning design for intelligent transportation system," Journal of Institute of Control, Robotics and Systems, vol. 18, no. 11, pp. 1034-1039, 2012. https://doi.org/10.5302/J.ICROS.2012.18.11.1034
  5. Y. Ji, J. Bae, J. Song, J. Ryu, and J. Baek, "Outdoor localization through GPS data and matching of lane markers for a mobile robot," Journal of Institute of Control, Robotics and Systems, vol. 18, no. 6, pp. 594-600, 2012. https://doi.org/10.5302/J.ICROS.2012.18.6.594
  6. F. Carl, T. S. Poorna, and H. Mike, "Tutorial: implementation of a pedestrian tracker using foot-mounted inertial sensors," IEEE Pervasive Computing, to appear.
  7. W. T. Faulkner, R. Alwood, D. W. A. Taylor, and J. Bohlin, "Altitude accuracy while tracking pedestrians using a boot-mounted IMU," Proc. of Position Location and Navigation Symposium (PLANS), pp. 90-96, 2010.
  8. K. J. Han, C. K. Sung, and M. J. Yu, "Improved calibration method for SDINS considering body-frame drift," International Journal of Control, Automation and Systems, vol. 9, no. 3, pp. 497-505, 2011. https://doi.org/10.1007/s12555-011-0309-x
  9. S. H. Shin, C. G. Park, J. W. Kim, H. S. Hong, and Lee, "Adaptive step length estimation algorithm using low-cost MEMS inertial sensors," Sensors Applications Symposium, 2007.
  10. D. Alvarez, R. C. Gonzalez, A. Lopez, and J. C. Alvarez, "Comparison of step length estimators from wearable accelerometer devices," Proc. of Engineering in Medicine and Biology Society, pp. 5964-5967, 2006.
  11. J. W. Kim, H. J. Jang, D. H. Hwang, and C. A. Park, "A step, stride and heading determination for the pedestrian navigation system," Journal of Global Positioning Systems, vol. 3, no. 1-2, pp. 273-279, 2003.
  12. Q. Ladetto, "On foot navigation: continuous step calibration using both complementary recursive prediction and adaptive Kalman filtering," Proc. of the 13th International Technical Meeting of the Satellite Division of The Institute of Navigation, pp. 1735-1740, 2000.
  13. Q. Li, M. Young, V. Naing, and J. M. Donelan, "Walking speed and slope estimation using shank-mounted inertial measurement units," Proc. of IEEE International Conference on Rehabilitation Robotics, pp. 839-844, 2009..
  14. T. N. Do and Y. S. Suh, "Gait analysis using floor markers and inertial sensors," Sensors, vol. 12, pp. 1594-1611, 2012. https://doi.org/10.3390/s120201594

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