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


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
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