The use of biosensors in VR/AR/MR training applications and training simulators to assess the cognitive and emotional state of the user is on the rise, reflected in a fast-growing market share for both hardware manufacturers of biosensors as companies offering internal and external training support. However, the accuracy and reliability when interpreting psychophysiological signals for a specific individual are often still poor. This can be attributed to inter-individual differences, which are not taken into account, since no individual calibration occurs prior to the training.