A method for the recovery of noisy missing data in movement analysis.
A new method is proposed for the accurate recovery of missing marker data obtained from movement tracking systems. The method has the form of a least-squares cubic polynomial approximation which is realized by the recursive expansion of orthogonal polynomials.
Stokes
V P
VP
Karolinska Institute, Physiology III, Stockholm, Sweden.
D000465:Algorithms; D003198:Computer Simulation; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008954:Models, Biological; D009068:Movement / Q000502:physiology*