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 |