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
Scholar Commons Citation
Handžić, Ismet and Reed, Kyle B., "Recognition of Gait Impairment Evaluated Using an Artificial Gait Stimuli" (2015). Mechanical Engineering Faculty Publications. 92.
https://digitalcommons.usf.edu/egr_facpub/92
