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. 2022 Jul 15;5:93. doi: 10.1038/s41746-022-00643-4

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© The Author(s) 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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Fig. 7 — Stride time variability arising from the home environment. The panels from left to right show box plots of passively recorded stride time for two subjects in four different settings and in aggregate. The error bars of boxplot are generated by matplotlib using the matplotlib.pyplot.boxplot function with default parameters. The boxplot extends from the first to the third quartile of the data with a line at the median. The whiskers extend from the box by 1.5 times the inter-quartile range.