Three-dimensional (3D) technology stands out as one of the most significant technological advancements of the 21st century, demonstrating especially rapid evolution in image content creation and presentation. This progress has opened up new possibilities in various fields, including entertainment, education, and virtual reality. However, alongside this growth, a phenomenon known as "3D syndrome" has been identified as a growing concern for users exposed to prolonged 3D content. Symptoms of 3D syndrome can include headaches, dizziness, and visual discomfort, which hinder the overall experience and may deter users from engaging with 3D technologies. Despite the increasing prevalence of 3D imaging, there has been a noticeable scarcity of thorough research examining the fundamental technologies that could help mitigate these adverse effects. As a result, there is a pressing need to explore practical solutions and coping mechanisms for users increasingly affected by 3D syndrome. In light of these challenges, this research paper outlines a proposed experimental design aimed at developing an automated detection technique for 3D syndrome. This technique will utilize brain wave analysis to monitor and assess the neural responses of individuals exposed to 3D content. By identifying the specific patterns of brain activity associated with 3D syndrome, we hope to enable timely interventions and enhance overall user experiences. The findings of this research could pave the way for advancements in 3D technology, ensuring its safe and enjoyable use for all audiences.
3D syndrome, Bio-Signal, Visual Fatigue, Detection, Technique Realization, Empirical Evidence