Skip to main content

Table 1 Statistics of the variation of the results of the adjusted kinematic model employing the proposed method five times on 100 randomly selected frames using Bootstrapping and a re-sampling parameter of \(N=1000\)

From: Modeling hind-limb kinematics using a bio-inspired algorithm with a local search

Variable Mean difference (std) 95% Confidence interval
\(l_1\) (pixels) 2.39 (4.87) 1.95–3.02
\(l_2\) (pixels) 1.86 (3.56) 1.56–2.35
\(l_3\) (pixels) 3.32 (6.27) 2.65–4.12
\(l_4\) (pixels) 12.59 (10.48) 11.41–13.79
\(\theta _1\) (rad) 0.02 (0.06) 0.018–0.034
\(\theta _2\) (rad) 0.01 (0.03) 0.013–0.022
\(\theta _3\) (rad) 0.01 (0.02) 0.013–0.019
\(\theta _4\) (rad) 0.36 (1.58) 0.210–0.582