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HS and TO estimation methods present mean errors of 1.35 and 0.55% respect to gait cycle.
These models explained more than 83% of the observed variability, with mean errors of less than 2.5 m.
Measurements of objects within the phantom by 2-D and 3-D EUS had mean errors of 8%and2.2%2%, respectively.
The theoretical mechanistic model and the empirical mechanistic model had normalized mean errors of 120% and 21%, respectively, when compared to measurements.
The calculation indicates that the mean errors of the failure mechanism criterion, Seow Swaddiwudhipong criterion, Songs criterion and He Song criterion are 4.18%, 7.65%, 12.66% and 16.32%, respectively.
Also, the test results of the forest datasets demonstrate that the mean errors of the proposed algorithm are compatible with those from other algorithms.
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The result shows a mean error of 3.38 %.
Mean (standard error of the mean).
Mean (standard error of the mean) values are presented.
Values reported as mean (standard error of the mean).
Data are expressed as means ± standard errors of mean (S.E.M).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com