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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 Ā± 0.034

9.402 Ā± 1.052

0.941 Ā± 0.021

6.133 Ā± 0.843

Flexion, Neutral, Pronation, Radial, Ulnar

0.821 Ā± 0.056

11.072 Ā± 1.375

0.901 Ā± 0.051

7.810 Ā± 1.575

Extension, Flexion, Neutral, Radial, Ulnar

0.842 Ā± 0.046

10.432 Ā± 1.362

0.927 Ā± 0.034

6.748 Ā± 1.221

Extension, Flexion, Neutral, Pronation, Ulnar

0.845 Ā± 0.046

10.320 Ā± 1.343

0.925 Ā± 0.039

6.797 Ā± 1.187

Extension, Flexion, Neutral, Pronation, Radial

0.832 Ā± 0.051

10.722 Ā±1.238

0.919 Ā± 0.039

7.239 Ā± 1.070