Robust Eye-Gaze Estimation Deep Neural Network (REGENN) - Texts

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Research unit

INNOSUISSE

Project number

26041.1 PFES-ES

Project title

Robust Eye-Gaze Estimation Deep Neural Network (REGENN)

Texts for this project

	German	French	Italian	English
Short description		-	-
Abstract		-	-

Inserted texts

Category	Text
Short description (German)	Robust Eye-Gaze Estimation Deep Neural Network (REGENN)
Short description (English)	Robust Eye-Gaze Estimation Deep Neural Network (REGENN)
Abstract (German)	Eyeware creates natural and intuitive human-machine interaction experiences using eye-gaze tracking. We propose to design a novel, robust gaze estimation system based on multi-task deep learning that can adapt to challenging conditions, targeting new applications in home automation and advertising.
Abstract (English)	Eyeware creates natural and intuitive human-machine interaction experiences using eye-gaze tracking. We propose to design a novel, robust gaze estimation system based on multi-task deep learning that can adapt to challenging conditions, targeting new applications in home automation and advertising.