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Walking Distance Estimation Using Walking Canes with Inertial Sensors.

Duc Cong Dang1, Young Soo Suh2

  • 1Electrical Engineering Department, University of Ulsan, Ulsan 44610, Korea. congdd.ac@gmail.com.

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|January 19, 2018
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Summary
This summary is machine-generated.

This study presents a new walking distance estimation algorithm for cane users, utilizing inertial sensors to track movement accurately. The developed methods improve gait analysis for individuals using mobility aids.

Keywords:
Kalman filterinertial sensormobility aidswalking canewalking distance estimation

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Area of Science:

  • Biomedical Engineering
  • Rehabilitation Technology
  • Sensor Technology

Background:

  • Cane users often require accurate mobility monitoring for rehabilitation and daily living.
  • Existing methods for tracking cane user gait can be complex or inaccurate.
  • Inertial sensor units offer a potential solution for unobtrusive gait analysis.

Purpose of the Study:

  • To develop and validate a novel walking distance estimation algorithm for cane users.
  • To adapt the algorithm for different types of canes (quadripod and standard).
  • To assess the impact of sensor placement on algorithm performance.

Main Methods:

  • An inertial navigation algorithm with an indirect Kalman filter was employed for velocity and position updates.
  • A zero-velocity measurement-updating method was used for quadripod canes.
  • An inverted pendulum model-based velocity-updating method was developed for standard canes.
  • Experiments involved three walking trials with two cane types and varied sensor positions.

Main Results:

  • The proposed algorithm demonstrated effective walking distance estimation for cane users.
  • Different updating methods were successfully applied to quadripod and standard canes.
  • Sensor placement variations were investigated, providing insights into optimal positioning.

Conclusions:

  • The developed algorithm provides a viable solution for estimating walking distance in cane users.
  • The adapted methods cater to the specific dynamics of different cane types.
  • This research contributes to the advancement of assistive technology for mobility assessment.