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Predicting Gender via Eye Movements
And second, we are able to provide a mean accuracy with a very low standard error (SEM): our accuracy is 65. 2 %, and the SEM is 0. 80 %; this is achieved through many runs of randomly selecting training and test sets for the prediction.
An Extensive Study of User Identification via Eye Movements across Multiple Datasets
Several studies have reported that biometric identification based on eye movement characteristics can be used for authentication.
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