Figure 10.
Iteration of a 3-fold Leave-One-Session-Out Cross-Validation performed on the gaming session of a given subject with three games, i.e., A, B and C. Data of two calibration games, e.g., A and B, are used to train the machine learning model, while data of the third calibration game, e.g., C, are used to evaluate the model.