Predicting the gaze depth in head-mounted displays using multiple feature regression
Document Type: | Conference Object |
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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 |