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TECHNICAL BRIEFS

Differentiation of Human Motion Data Using Combined Spline and Least Squares Concepts

[+] Author and Article Information
W. Simons

Departments of Mathematics and Orthopedic Surgery, West Virginia University, Morgantown, WV 26506

K. H. Yang

Department of Mechanical Engineering and Bioengineering Center, Wayne State University, Detroit, MI 48202

J Biomech Eng 113(3), 348-351 (Aug 01, 1991) (4 pages) doi:10.1115/1.2894894 History: Received June 24, 1990; Revised January 30, 1991; Online March 17, 2008

Abstract

A differentiation method, which combines the concepts of least squares and splines, has been developed to analyze human motion data. This data smoothing technique is not dependent on a choice of a cut-off frequency and yet it closely reflects the nature of the phenomenon. Two sets of published benchmark data were used to evaluate the new algorithm.

Copyright © 1991 by The American Society of Mechanical Engineers
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