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AssigneesDive Medical Sl, Universidad De Zaragoza, Fundacion Instituto De Investigacion Sanitaria Aragon
InventorsMaría Victoria PUEYO ROYO, Marta ORTÍN OBÓN, Diego GUTIÉRREZ PÉREZ, Belén MASIÁ CORCOY, Adrián ALEJANDRE ESCRICHE, Xian PAN, Álvaro FANLO ZARAZAGA, Marina VILELLA CENIS, Teresa PÉREZ ROCHE, María Isabel GIMENO VERDEJO
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A computer-implemented method of validating eye tracking data for a system for performing eye tracking-based tests or tasks on a subject. The method comprises receiving (S8) eye tracking data of one or both eyes of a subject for each one of a sequence of visual stimuli (200), the eye tracking data indicative of one or more characteristics of the subject's gaze or position when each of the stimuli (200) were displayed. The method comprises receiving (S9) one or more subject indications comprising at least one of the following: the subject's age; one or more pathological or physiological conditions of the subject; and data representative of a calibration quality and/or attention level for one or more previous eye tracking-based tests or tasks performed by the subject. The method also comprises one or more of the following steps: a) quantifying a calibration quality of the eye tracking data and determining (S10) whether the calibration quality is lower than a predetermined minimum expected calibration quality associated with the subject indications, based at least on the eye tracking data the position of each visual stimuli and the subject indications; b) quantifying an attention level of the subject based on the eye tracking data, and determining (S10) whether the attention level of the subject is lower than a predetermined minimum expected attention level associated with the subject indications, based at least on the eye tracking data and the subject indications.
A computer-implemented method of validating eye tracking data for a system for performing eye tracking-based tests or tasks on a subject, comprising:
The method of any preceding claim, wherein the method includes step a) and the eye tracking data is obtained by an eye tracking device, and if it is determined that the eye tracking data is of a lower calibration quality than the predetermined expected minimum calibration quality, recommending or performing a recalibration of the eye tracking device and/or indicating that the subject should be repositioned to improve the calibration quality of the data.
The method of any preceding claim, wherein the method includes step b) and if it is determined that the eye tracking data is indicative of a lower attention level than the predetermined expected minimum attention level and/or it is determined the calibration quality is lower than the predetermined expected minimum calibration quality, obtaining new eye tracking data by:
The method of any preceding claim, wherein the eye tracking data is eye tracking data obtained during calibration of an eye tracking device, or wherein the eye tracking data is eye tracking data obtained during an eye tracking-based test or task.
The method of any preceding claim, wherein the method comprises generating the eye tracking data by the following preceding steps:
Dependencies are inferred from the claim text.