CORDIS Project
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This project develops a machine learning approach to decode eye movements using electrooculography, enabling high-precision tracking even with closed eyes or during sleep. It aims to enhance applications in cognitive research and medical monitoring, particularly for sleep analysis and understanding mental states.
In the rapidly evolving landscape of cognitive neuroscience, a significant surge in research has highlighted eye movements as a critical yet previously underestimated window into neuro-cognitive processes.
Our project is at the forefront of this paradigm shift, proposing an innovative machine learning-based approach to decode eye movements with high precision using electrooculography (EOG) channels alone.
This method is set to revolutionize eye-tracking technologies, particularly in non-visual c…
UNIVERSITA DEGLI STUDI DI TRENTO
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