A multimodal dataset for emotional transition analysis in virtual reality

Fig. 1. Four emotional quadrants on valence-arousal plane.

Fig. 2. Equipment used in data collection. (a) Participant wearing dry EEG electrodes and GSR/EMG sensors with VR headset. (b) Setup without VR headset showing the EEG cap. The depicted participant provided written informed consent for the publication of these identifiable images.

Fig. 3. 10–20 montage. Base anatomical head generated by Google DeepMind Gemini 3 Pro (2025). All electrode locations were manually plotted by the first author to correspond with DSI-7-Flex configurations used in data collection.

Fig. 4. Electrodes placements (a) ECG, (b) EOG, (c) EMG, (d) GSR. Base anatomical torso, head and hand generated by Google DeepMind Gemini 3 Pro (2025). All sensor locations were manually plotted by the first author to correspond with Shimmer3 and DSI-7-Flex.

Fig. 5. Experiment timeline on the example of permutation ABC.

Fig. 6. Sample data collection. The depicted participant provided written informed consent for the publication of these identifiable images.

Fig. 7. Convergent validity evidence.

Fig. 8. Top three longest and shortest journeys in 2D (Valence-Arousal plane) and 3D (PAD space). The square marker represents the initial Baseline state (Quadrant D) and round markers represent the subsequent emotional states (Quadrants A, B and C) experience. The triangle marker in bottom panel represents Baseline state. Each journey has 4 markers showing only the post-stimulus self-assessment coordinates.

Fig. 9. Comprehensive SAM Validation Results.