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. 2020 Jan 20;10:680. doi: 10.1038/s41598-020-57513-w

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© The Author(s) 2020, corrected publication 2022

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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CP decomposition for joint angle data. λ denotes the scaling factor for each tensor. (a) The relation between the number of modules and components and the variance explained by the tensor decomposition. (b) The relation between the number of modules and components and the fitting error of the tensor decomposition. (c1–c3) Extracted spatial modules. LA, LK, LH, RA, RK, and RH denote the left ankle, left knee, left hip, right ankle, right knee, and right hip, respectively. (d1–d3) Extracted temporal modules. (e1–e3) Extracted task-dependent modulations.