Machine learning models for the prediction of acuity and variability of eye-positioning using features extracted from oculography
Giovanni Improta, Carlo Ricciardi, Giuseppe Cesarelli, Giovanni D’Addio, Paolo Bifulco, Mario Cesarelli
Topics & Concepts
ElectrooculographyNystagmusArtificial intelligenceComputer scienceSupport vector machineVisual acuityEye movementMultilayer perceptronEye trackingComputer visionPattern recognition (psychology)OphthalmologyArtificial neural networkMedicineAudiologyGaze Tracking and Assistive TechnologyEEG and Brain-Computer InterfacesNon-Invasive Vital Sign Monitoring