EYE GAZE CLASSIFICATION

EYE GAZE CLASSIFICATION

Techniques of tracking a user's gaze includes identifying a region of a display at which a gaze of a user is directed, the region including a plurality of pixels. By determining a region rather than a point, when the regions correspond to elements of a user interface, the improved technique ena...

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Bibliographische Detailangaben
Hauptverfasser: RODGERS, Ivana Tosic, BOUAZIZ, Sofien, KOWDLE, Adarsh Prakash Murthy, FANELLO, Sean Ryan Francesco, PANDEY, Rohit Kumar, ABOUSSOUAN, Eric
Format: Patent
Sprache:eng ; fre ; ger
Schlagworte:
CALCULATING
COMPUTING
COUNTING
PHYSICS
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Beschreibung
Zusammenfassung:Techniques of tracking a user's gaze includes identifying a region of a display at which a gaze of a user is directed, the region including a plurality of pixels. By determining a region rather than a point, when the regions correspond to elements of a user interface, the improved technique enables a system to activate the element to which a determined region is selected. In some implementations, the system makes the determination using a classification engine including a convolutional neural network; such an engine takes as input images of the user's eye and outputs a list of probabilities that the gaze is directed to each of the regions.