Differentiation of human motion data using combined spline and least squares concepts.
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.
Simons
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W
Department of Mathematics, West Virginia University, Morgantown 26506.
Yang
K H
KH
D000465:Algorithms; D003627:Data Interpretation, Statistical; D006801:Humans; D016018:Least-Squares Analysis; D009068:Movement / Q000502:physiology*