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

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Gait Analysis System Using Infrared LED Landmarks

적외선 LED 랜드마크를 이용한 보행분석 시스템

  • Received : 2011.04.14
  • Accepted : 2011.05.26
  • Published : 2011.07.01
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Abstract

A low cost gait analysis system, which can measure stride length, walking speed, and ground reaction force, is proposed. A gait analysis system is used for medical evaluation of patients and rehabilitation assistance. Low cost cameras are attached to a shoe and movement of a shoe is estimated using infrared LED landmarks. Ground reaction force is measured from pressure sensors, which are installed inside a shoe. Through experiments, it is shown that the proposed system can be used to obtain stride length, walking speed, and ground reaction force.

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References

  1. M. W. Whittle, Gait Analysis: An Introduction, Elsevier, New York, 2008.
  2. P. A. Oberg, T. Togawa, and F. A. Spelman, Sensors in Medicine and Health Care, Wiley-VCH, 2004.
  3. J. Zhao, Y. Wei, and Z. Wang, "Estimating human body segment parameters using motion capture data," Proc. of 4th International Universal Communication Symposium, pp. 243-249, Oct. 2010.
  4. T. B. Moeslund, A. Hilton, and V. Kruger, "A survey of advances in vision-based human motion capture and analysis," Computer Vision and Image Understanding, vol. 104, no. 2, pp. 90-126, Nov. 2006. https://doi.org/10.1016/j.cviu.2006.08.002
  5. S. K. Park and Y. S. Suh, "Pedestrian navigation system using inertial sensors and vision," The Transactions of KIEE(in Korean), vol. 58, no. 5, pp. 2048-2057, Nov. 2009.
  6. S. H. Shin, H. W. Kim, C. G. Park, and S. Choi, "Map-matching algorithm for MEMS-based pedestrian dead reckoning system in the mobile device," Journal of Institute of Control, Robotics and Systems (in Korean), vol. 14, no. 11, pp. 1189-1195, Nov. 2008. https://doi.org/10.5302/J.ICROS.2008.14.11.1189
  7. A. M. Sabatini, C. Martelloni, and F. Cavallo, "Assessment of walking features from foot inertial sensing," IEEE Transactions on Biomedical Engineering, vol. 52, no. 3, pp. 486-494, March 2005. https://doi.org/10.1109/TBME.2004.840727
  8. G. Welch and E. Foxlin, "Motion tracking: no silver bullet, but a respectable arsenal," IEEE Computer Graphics, vol. 22, no. 6, pp. 24-38, Nov. 2002. https://doi.org/10.1109/MCG.2002.1046626
  9. B. K. P. Horn, H. M. Hilden, and S. Negahdaripour, "Closed-form solution of absolute orientation using orthonormal matrices," Journal of the Optical Society of America, vol. 5, no. 7, pp. 1127-1135, July 1988. https://doi.org/10.1364/JOSAA.5.001127
  10. C. Lu, G. D. Hager, and E. Mjolsness, "Fast and globally convergent pose estimation from video images," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 22, no. 6, June 2009. https://doi.org/10.1109/34.862199
  11. I. F. Rickard and J. E. Davis, "Self-calibrating optical object tracking using Wii remotes," Proc. SPIE (Sensors, Cameras, and Systems for Industrial/Scientific Application X), vol. 7249, pp. 72490W-72490W11, 2009.
  12. J.-Y. Bouguet, "Camera calibration toolbox for matlab," (http://www.vision. caltech.edu/bouguetj/calib_doc/)
  13. D. Lee, J. Jung, D. W. Lee, and H. Lee, "Development of gait assisting rehabilitation robot for SCI (Spinal Cord Injury) patient," Journal of Institute of Control, Robotics and Systems (in Korean), vol. 16, no. 9, pp. 860-865, Sep. 2010. https://doi.org/10.5302/J.ICROS.2010.16.9.860
  14. H. J. Choi, S. J. Kang, C. Y. Kwon, J. C. Rhu, S. M. Lee, and M. S. Mun, "Research of elderly gait-assistant-robot control system," Journal of Institute of Control, Robotics and Systems (in Korean), vol. 16, no. 9, pp. 823-826, Sep. 2010. https://doi.org/10.5302/J.ICROS.2010.16.9.823