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. 2022 Dec 27;3:e30. doi: 10.1017/wtc.2022.29

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© The Author(s) 2022

This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.

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Figure 6. — Model results. (a,b) Comparison of the thigh segment angle errors. The compliance errors before and after the correction by the XGBoost models are displayed. (a) The averaged RMS and (b) the averaged maximum angle errors. The error bars represent ± 1 standard deviation. (c) Thigh segment angle throughout the gait cycle for participant E. The plot shows mean and standard deviation over gait cycles averaged over all assistance and speed levels. The results of represent the performance of our algorithm tested on the data of participant E in a subject independent manner (i.e the particular participant’s data were not used for model training or validation).

Inline graphic — Model results. (a,b) Comparison of the thigh segment angle errors. The compliance errors before and after the correction by the XGBoost models are displayed. (a) The averaged RMS and (b) the averaged maximum angle errors. The error bars represent ± 1 standard deviation. (c) Thigh segment angle throughout the gait cycle for participant E. The plot shows mean and standard deviation over gait cycles averaged over all assistance and speed levels. The results of represent the performance of our algorithm tested on the data of participant E in a subject independent manner (i.e the particular participant’s data were not used for model training or validation).