Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10433508 | Journal of Biomechanics | 2009 | 5 Pages |
Abstract
PCA has been shown to be a powerful tool for analyzing complex gait data. In this analysis, it is shown that in order to quantify the effects of external loads and/or for both normal weight and overweight subjects, the first principal component (PC1) is needed. For the work in this paper, PCs were generated from lower body joint angle data. The PC1 of the hip angle and PC1 of the ankle angle are shown to be an indicator of external load and BMI effects on temporal gait data.
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Authors
Minhyung Lee, Michael Roan, Benjamin Smith,