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Sensors 2018, 18(1), 230;

Walking Distance Estimation Using Walking Canes with Inertial Sensors

Electrical Engineering Department, University of Ulsan, Ulsan 44610, Korea
Author to whom correspondence should be addressed.
Received: 30 November 2017 / Revised: 10 January 2018 / Accepted: 12 January 2018 / Published: 15 January 2018
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A walking distance estimation algorithm for cane users is proposed using an inertial sensor unit attached to various positions on the cane. A standard inertial navigation algorithm using an indirect Kalman filter was applied to update the velocity and position of the cane during movement. For quadripod canes, a standard zero-velocity measurement-updating method is proposed. For standard canes, a velocity-updating method based on an inverted pendulum model is proposed. The proposed algorithms were verified by three walking experiments with two different types of canes and different positions of the sensor module. View Full-Text
Keywords: mobility aids; walking cane; walking distance estimation; inertial sensor; Kalman filter mobility aids; walking cane; walking distance estimation; inertial sensor; Kalman filter

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Dang, D.C.; Suh, Y.S. Walking Distance Estimation Using Walking Canes with Inertial Sensors. Sensors 2018, 18, 230.

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