Title

Recognition of Gait Impairment Evaluated Using an Artificial Gait Stimuli

Document Type

Conference Proceeding

Publication Date

2015

Digital Object Identifier (DOI)

https://doi.org/10.1109/ICORR.2015.7281336

Abstract

This paper describes experiments to understand how well individuals can recognize an impaired walking pattern. The gait patterns are generated using a passive dynamic walker (PDW) model to allow a systematic change in gait patterns. The changed gait parameters include gait cadence, knee height asymmetry, step length and step time asymmetry, roll-over-shape (ROS) asymmetry, and knee damping asymmetry. Twenty participants rated twenty-four unimpaired and impaired walking patterns on a 7-point Likert scale. Results revealed that although a walking pattern may deviate dynamically from normal, there is a quantifiable range of gait impairments that may be dismissed as unimpaired. Particularly, we found that a knee height asymmetry range of roughly +10% (up) and-20%, could be dismissed as unimpaired. Findings show that the impairment perception of a damped knee joint can be countered by attaching a mass to the opposite lower limb.

Was this content written or created while at USF?

Yes

Citation / Publisher Attribution

2015 IEEE International Conference on Rehabilitation Robotics (ICORR), p. 1008-1013

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