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Comparing Different Methods to Create a Linear Model for Uncontrolled Manifold Analysis

Abstract : An essential step in uncontrolled manifold analysis is creating a linear model that relates changes in elemental variables to changes in performance variables. Such linear models are usually created by means of an analytical method. However, a multiple regression analysis is also suggested. Whereas the analytical method includes only averages of joint angles, the regression method uses the distribution of all joint angles. We examined whether the latter model is more suitable to describe manual reaching movements. The relation between estimated and measured fingertip-position deviations from the mean of individual trials, the relation between fingertip variability and nongoal-equivalent variability, goal-equivalent variability, and nongoal-equivalent variability indicated that the linear model created with the regression method gives a more accurate description of the reaching data. Therefore, we suggest the usage of the regression method to create the linear model for uncontrolled manifold analysis in tasks that require the approximation of the linear model.
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https://hal-amu.archives-ouvertes.fr/hal-02185115
Contributor : Reinoud J. Bootsma <>
Submitted on : Tuesday, July 16, 2019 - 2:27:06 PM
Last modification on : Friday, February 14, 2020 - 10:13:53 AM

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Inge Tuitert, Tim Valk, Egbert Otten, Laura Golenia, Raoul Bongers. Comparing Different Methods to Create a Linear Model for Uncontrolled Manifold Analysis. Motor Control, Human Kinetics, 2019, 23 (2), pp.189-204. ⟨10.1123/mc.2017-0061⟩. ⟨hal-02185115⟩

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