A Quantitative Method for Assessment of Differentiation Techniques Used for Locomotion Analysis

Photogrammetric techniques are widely used for the study of human movement. These techniques allow the 3-D positions of anatomical landmarks to be determined at regular time intervals. The development of computer interfaced optoelectronic measurement systems has significantly reduced the time and manual effort involved in data acquisition, making the use of photogrammetry in locomotion analysis feasible on a routine basis. These perspectives have provided the impetus for the application of time series techniques for determining velocities and accelerations of limb segments.

[1]  Michael D. Lesh,et al.  A Gait Analysis Subsystem for Smoothing and Differentiation of Human Motion Data , 1979 .

[2]  P. Dierckx,et al.  Calculation of derivatives and Fouriercoefficients of human motion data, while using spline functions. , 1979, Journal of biomechanics.

[3]  J C Pezzack,et al.  An assessment of derivative determining techniques used for motion analysis. , 1977, Journal of biomechanics.

[4]  D A Winter,et al.  Measurement and reduction of noise in kinematics of locomotion. , 1974, Journal of biomechanics.

[5]  C. A. Terzuolo,et al.  Modeling of a simple motor task in man: intentional arrest of an ongoing movement , 1973, Kybernetik.

[6]  N. A. Bernshteĭn The co-ordination and regulation of movements , 1967 .

[7]  T M McLaughlin,et al.  A technique for obtainng spatial kinematic parameters of segments of biomechanical systems from cinematographic data. , 1980, Journal of biomechanics.

[8]  T M McLaughlin,et al.  Biomechanical analysis with cubic spline functions. , 1977, Research quarterly.

[9]  S Plagenhoef Computer programs for obtaining kinetic data on human movement. , 1968, Journal of biomechanics.

[10]  H Hatze,et al.  The use of optimally regularized Fourier series for estimating higher-order derivatives of noisy biomechanical data. , 1981, Journal of biomechanics.

[11]  P. Dierckx,et al.  Calculation of fourier coefficients of discrete functions using cubic splines , 1977 .

[12]  E. M. Roberts,et al.  Fitting biomechanical data with cubic spline functions. , 1976, Research quarterly.

[13]  A Pedotti,et al.  A general computing method for the analysis of human locomotion. , 1975, Journal of biomechanics.

[14]  C. K. Yuen,et al.  Digital Filters , 1979, IEEE Transactions on Systems, Man, and Cybernetics.

[15]  Håkan Lanshammar,et al.  ENOCH - An Integrated system for measurement and analysis of human gait , 1977 .

[16]  P. Bloomfield,et al.  A Time Series Approach To Numerical Differentiation , 1974 .