Eye-tracking metrics accurately classify brain hemisphere activity with 89% F1 score

Researchers have developed a new method called EyeBrain that uses pupil diameter and fixation duration to classify left and right brain hemisphere activity. This approach achieved a high F1 score of 0.894, indicating that ocular metrics can reliably signal lateralized brain function. The findings suggest potential applications in cognitive monitoring and neurorehabilitation, with future work aiming for real-time integration. AI

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IMPACT Potential for new non-invasive methods in cognitive monitoring and neurorehabilitation.

RANK_REASON Academic paper detailing a novel method for classifying brain activity using ocular metrics.

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