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A new application of smart walker for quantitative analysis of human walking

Abstract : This paper presents a new nonintrusive device for everyday gait analysis and health monitoring. The system is a standard rollator equipped with encoders and inertial sensors. The assisted walking of 25 healthy elderly and 23 young adults are compared to develop walking quality index. The subjects were asked to walk on a straight trajectory and an L-shaped trajectory respectively. The walking trajectory, which is missing in other gait analysis methods, is calculated based on the encoder data. The obtained trajectory and steps are compared with the results of a motion capture system. The gait analysis results show that new index obtained by using the walker measurements, and not available otherwise, are very discriminating, e.g., the elderly have larger lateral motion and maneuver area, smaller angular velocity during turning, their walking accuracy is lower and turning ability is weaker although they have almost the same walking velocity as the young people.
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Submitted on : Tuesday, December 9, 2014 - 8:38:01 PM
Last modification on : Thursday, August 4, 2022 - 4:54:51 PM
Long-term archiving on: : Tuesday, March 10, 2015 - 12:26:02 PM


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  • HAL Id : hal-01092987, version 1


Ting Wang, Claire Dune, Jean-Pierre Merlet, Philippe Gorce, Guillaume Sacco, et al.. A new application of smart walker for quantitative analysis of human walking. The Second Workshop on Assistive Computer Vision and Robotics (ACVR'14), Sep 2014, zuric, Switzerland. ⟨hal-01092987⟩



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