arXiv:2604.23562q-bio.NCcs.AI2026-04

通过瞳孔大小和注视时长区分左右脑活动,准确率高达89.4%。

EyeBrain: Left and Right Brain Lateralization Activity Classification Through Pupil Diameter and Fixation Duration

论文配图:EyeBrain: Left and Right Brain Lateralization Activity Classification Through Pupil Diameter and Fixation Duration
图 1 · 摘自论文原文
  • 用瞳孔直径和注视时长捕捉脑半球活动差异
  • 分类F1得分0.894,表现优异
  • 适合认知监测与神经康复场景

左右脑功能分工在认知任务中已有充分研究:左半球主导语言与算术,右半球负责绘画、音乐感知等创造性活动。眼动追踪技术可通过测量瞳孔直径和注视时长揭示认知状态,但利用这些眼动指标区分半球活动仍缺乏探索。本文证明,瞳孔直径与注视时长可有效用于分类左右脑活动。实验取得显著性能,F1得分为0.894。结果表明,眼动指标是半球化活动的稳健指示器,适用于认知监测与神经康复。未来工作将推动该方法在实时系统EyeBrain中的集成,拓展其在多种认知与神经领域中的应用。

原文摘要 · Abstract (English)

The relationship between brain lateralization and cognitive functions is well-documented. The left hemisphere primarily handles tasks such as language and arithmetic, while the right hemisphere is involved in creative activities like drawing and music perception. Eye-tracking technology has shown the potential to reveal cognitive states by measuring ocular metrics such as pupil diameter and fixation duration. However, the ability to distinguish lateralized brain activity using these ocular metrics remains underexplored. Here, we demonstrate that pupil diameter and fixation duration can effectively classify left and right brain hemisphere activities. We obtained a considerably high classification performance, with an F1 score of 0.894. The results suggest that ocular metrics are robust indicators of lateralized brain activity and can be applied in cognitive monitoring and neurorehabilitation. Our future work expands on this by integrating these methods into real-time applications EyeBrain, potentially broadening their use across various cognitive and neurological domains.

眼动追踪脑半球分类认知监测

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