Evaluation of Eye Movement Features and Visual Fatigue in Virtual Reality Games

VR games make people happy physically and mentally, but also lead to eye health problems. At present, the existing VR systems lack fatigue detection technology, which makes it difficult to help users use their eyes reasonably. In order to improve the user experience of VR gamers, this paper proposes a visual fatigue detection algorithm based on eye movement features, which uses the relationship between the lateral and longitudinal displacements of the human head and the displacement of the center point of the human eye to locate the position of the human eye. Moreover, in this paper, the human eye position tracking model is input into the three-frame difference algorithm to detect eye movement features. In addition, for tiny motion interference such as eyebrows, the image opening operation of eroding first and then expanding is used to remove it. Through experiments, it is found that the eye movement feature detection method adopted in this paper can greatly improve the detection speed with less accuracy loss, meet the sensitivity requirements of eye movement feature capture, improve the real-time performance of the system, and effectively improve the real-time analysis of player status. Therefore, integrating this algorithm into the virtual game system can help players adjust their own state, which has a positive effect on improving the game experience and reducing eye damage.

@article{Ji2025,
  title     = {Evaluation of Eye Movement Features and Visual Fatigue in Virtual Reality Games},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {16},
  number    = {1},
  year      = {2025},
  publisher = {The Science and Information Organization},
  author    = {Yuwei Ji},
  doi       = {10.14569/IJACSA.2025.0160199},
  url       = {https://doi.org/10.14569/IJACSA.2025.0160199}
}