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Table 6 The result of the algorithm using five wrist positions in the training dataset, one-step regression

From: Regressing grasping using force myography: an exploratory study

Included wrist position in training dataset \(\theta _{TI}\) \(\theta _{TM}\)
\(R^2\) \(RMSE\%\) \(R^2\) \(RMSE\%\)
Extension, Flexion, Neutral, Pronation, Radial, Ulnar 0.872 ± 0.034 9.402 ± 1.052 0.941 ± 0.021 6.133 ± 0.843
Flexion, Neutral, Pronation, Radial, Ulnar 0.821 ± 0.056 11.072 ± 1.375 0.901 ± 0.051 7.810 ± 1.575
Extension, Flexion, Neutral, Radial, Ulnar 0.842 ± 0.046 10.432 ± 1.362 0.927 ± 0.034 6.748 ± 1.221
Extension, Flexion, Neutral, Pronation, Ulnar 0.845 ± 0.046 10.320 ± 1.343 0.925 ± 0.039 6.797 ± 1.187
Extension, Flexion, Neutral, Pronation, Radial 0.832 ± 0.051 10.722 ±1.238 0.919 ± 0.039 7.239 ± 1.070