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Predicting the gaze depth in head-mounted displays using multiple feature regression

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Metadaten
Document Type:Conference Object
Language:English
Author:Martin Weier, Thorsten Roth, André Hinkenjann, Philipp Slusallek
Parent Title (English):Sharif, Krejtz (Eds.): Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications (ETRA '18). Warsaw, Poland, June 14-17, 2018
Article Number:19
Number of pages:9
ISBN:978-1-4503-5706-7
DOI:https://doi.org/10.1145/3204493.3204547
Publisher:ACM
Date of first publication:2018/06/14
Funding:The work is supported by the German Federal Ministry for Economic Affairs and Energy (BMWi), funding the MoVISO ZIM-project under Grant No.: ZF4120902
Keyword:Eye Tracking; Gaze Depth Estimation; Virtual Reality
Departments, institutes and facilities:Fachbereich Informatik
Institute of Visual Computing (IVC)
Dewey Decimal Classification (DDC):0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Entry in this database:2018/07/25