• DocumentCode
    235940
  • Title

    Optimal positions for foot pressure sensors in walking analysis

  • Author

    Kaewkannate, Kanitthika ; Soochan Kim

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Hankyong Nat. Univ., Anseong, South Korea
  • fYear
    2014
  • fDate
    26-28 Nov. 2014
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    We suggest the optimal position of sensors used for measuring foot pressure. Foot pressures were obtained from 11 healthy persons (6 men and 5 women) while they were walking on a treadmill for 1 minute at 3 km/h. The order of high correlation coefficients were in: the heel region (r = -0.35 on sensor number 10), the metatarsal region (r = -0.27 on sensor number 79), the toe region (r = -0.19 on sensor number 74) and the barefoot region (r = -0.10 on sensor number 68), respectively. However, the pressure could not show angle information of the foot, even though this is also important for gait diagnosis or daily monitoring. Therefore, we analyzed the foot angle using a 9DOF (6-degree of freedom) IMU sensor. From the results, the highest negative pitch angle occurred at the moment of heel strike, while the highest positive pitch angle occurred at the moment of toe roll-off. Thus, both of the foot pressure and the angle information could increase the accuracy and usfulness of walking or gait analysis.
  • Keywords
    biomedical measurement; gait analysis; pressure sensors; 9DOF IMU sensor; barefoot region; correlation coefficient; daily monitoring; foot angle information; foot pressure measurement; foot pressure sensor optimal position; gait analysis; gait diagnosis; heel region; heel strike; negative pitch angle; positive pitch angle; time 1 min; toe region; toe roll-off; treadmill; velocity 3 km/h; walking analysis; Atmospheric measurements; Engines; Foot; Monitoring; Particle measurements; foot angle measurement area; optimal sensor position; pressure sensor; walking analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering International Conference (BMEiCON), 2014 7th
  • Conference_Location
    Fukuoka
  • Type

    conf

  • DOI
    10.1109/BMEiCON.2014.7017445
  • Filename
    7017445