Identification and Correlation of Human Footfall Load Parameters Using Multivariate Analysis

[+] Author and Article Information
J. F. Wilson

Department of Civil and Environmental Engineering, Duke University, Durham, NC 27708-0287

R. D. Rochelle

NC Department of Transportation, Duke University, Durham, NC 27708-0287

J. E. Bischoff

Department of Biomedical Engineering, Duke University, Durham, NC 27708-0287

J Biomech Eng 119(1), 115-123 (Feb 01, 1997) (9 pages) doi:10.1115/1.2796053 History: Received August 29, 1995; Revised May 08, 1996; Online October 30, 2007


This research had two main objectives: to identify and quantify the multiple reaction parameters of human footfall load histories for 24 subjects; and to seek statistical correlations of the reaction parameters with two gaits: fitness walking and running, with two footfall surfaces: rigid and mat, and with two subject attributes: gender and arch index. These reaction parameters, measured with a force plate, include the subjects’ foot reaction forces in the three orthogonal directions and the particular features of these forces such as their duration, average values, peak values, and rates of loading. An automated data retrieval-software system evaluated these reaction parameters. The statistical correlations were made using principal component analysis (PCA), a method that projected the 13 identified footfall reaction parameters onto subsets of three or four parameters called principal components that contained most of the variance of the original thirteen. The results, among others, show couplings between the vertical and the peak medial load, but an uncoupling of the posterior–anterior loads with the loads in the other two directions.

Copyright © 1997 by The American Society of Mechanical Engineers
Your Session has timed out. Please sign back in to continue.





Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In