title: Estimation of the axis of a screw motion from noisy data--a new method based on Plücker lines.
abstract: The problems of estimating the motion and orientation parameters of a body segment from two n point-set patterns are analyzed using the Plücker coordinates of a line (Plücker lines). The aim is to find algorithms less complex than those in conventional use, and thus facilitating more accurate computation of the unknown parameters. All conventional techniques use point transformation to calculate the screw axis. In this paper, we present a novel technique that directly estimates the axis of a screw motion as a Plücker line. The Plücker line can be transformed via the dual-number coordinate transformation matrix. This method is compared with Schwartz and Rozumalski [2005. A new method for estimating joint parameters from motion data. Journal of Biomechanics 38, 107-116] in simulations of random measurement errors and systematic skin movements. Simulation results indicate that the methods based on Plücker lines (Plücker line method) are superior in terms of extremely good results in the determination of the screw axis direction and position as well as a concise derivation of mathematical statements. This investigation yielded practical results, which can be used to locate the axis of a screw motion in a noisy environment. Developing the dual transformation matrix (DTM) from noisy data and determining the screw axis from a given DTM is done in a manner analogous to that for handling simple rotations. A more robust approach to solve for the dual vector associated with DTM is also addressed by using the eigenvector and the singular value decomposition.
authors.affiliation: Division of Engineering Mechanics, School of Mechanical & Production Engineering, Nanyang Technological University, Singapore.
authors.forename: Koon
authors.initials: K
authors.lastname: Kiat Teu
authors.forename: Wangdo
authors.initials: W
authors.lastname: Kim
mesh_terms: D000054:Acceleration; D000328:Adult; D000465:Algorithms; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D005684:Gait / Q000502:physiology; D006801:Humans; D007596:Joints / Q000502:physiology*; D008297:Male; D008722:Methods; D009068:Movement / Q000502:physiology*; D015203:Reproducibility of Results; D016138:Walking / Q000502:physiology*