Using Orientation Statistics to Investigate Variations in Human Kinematics

DOI10.1111/1467-9876.00180zbMath0974.62107OpenAlexW2130299120MaRDI QIDQ4949588

Jérôme Asselin, Louis-Paul Rivest, Denis Rancourt

Publication date: 16 December 2001

Published in: Journal of the Royal Statistical Society Series C: Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/1467-9876.00180

zbMATH Keywords

rotationsquaternionsdirectional datahuman movementjoint kinematicsdrilling task

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of statistics to physics (62P35) Biomechanics (92C10)

Related Items (14)

Quantifying spread in three-dimensional rotation data: comparison of nonparametric and parametric techniques ⋮ Scale and curvature effects in principal geodesic analysis ⋮ Algebraic analysis of rotation data ⋮ Nonparametric Rotations for Sphere-Sphere Regression ⋮ A permutation test for comparing rotational symmetry in three-dimensional rotation data sets ⋮ A new statistical model for random unit vectors ⋮ Finite-sample investigation of likelihood and Bayes inference for the symmetric von Mises-Fisher distribution ⋮ A nonlinear mixed effects directional model for the estimation of the rotation axes of the human ankle ⋮ A statistical model for random rotations ⋮ Spatial statistics ⋮ Regression and correlation for 3 × 3 rotation matrices ⋮ Arithmetic and geometric solutions for average rigid-body rotation ⋮ Modelling orientation trajectories ⋮ \(M\)-estimation for location and regression parameters in group models: A case study using Stiefel manifolds

This page was built for publication: Using Orientation Statistics to Investigate Variations in Human Kinematics