In this paper, we propose a set of detailed experimental procedures designed to detect indicators of 3D syndrome, a condition that may arise after prolonged exposure to 3D holographic displays. Our approach involves the extraction and analysis of changes in the user's electroencephalogram (EEG), which records the electrical activity of the brain. By monitoring these neural patterns, we aim to identify specific markers that correlate with the onset of 3D syndrome symptoms. The findings from this research can be invaluable in the development of a protective system that not only detects these neurological changes in real-time but also implements preventive measures to mitigate the adverse effects associated with 3D holography. This could involve adjustments to the display technology or personalized recommendations for viewers based on their unique brain responses, ultimately enhancing the safety and enjoyment of immersive visual experiences.
3D Syndrome, Coefficient Correlation, Brain Wave, Feature Vector, Detect