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. Author manuscript; available in PMC: 2017 Apr 1.
Published in final edited form as: IEEE Trans Biomed Eng. 2015 Aug 20;63(4):737–746. doi: 10.1109/TBME.2015.2469741

Figure 7.

Figure 7

Offline cross-validated prediction accuracies for the regression models. (A) Overall R2 value when all DOF complexities of prompt data (including 1-, 2-, and 3-DOF prompts) are predicted. Using all-motion training improved overall prediction accuracy compared to motion-specific training (p < 0.001). (B) Results broken down by DOF complexity of the prompt to be predicted. The training data complexity also significantly affected prediction accuracy for different prompt complexities (p < 0.001). 1-DOF prompts were predicted best by systems trained with only 1-DOF data, whereas 3-DOF prompts were predicted better by systems trained with 1-, 2-, and 3-DOF training data.