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Estimating Gaze Depth Using Multi-Layer Perceptron
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Year:
2017
Type:
conference-paper
Source:
International Symposium on Ubiquitous Virtual Reality
DOI:
10.1109/isuvr.2017.13
Authors:
Youngho Lee,
Choonsung Shin,
Alexander Plopski,
Yuta Itoh,
Thammathip Piumsomboon,
Arindam Dey,
Gun Lee,
Seungwon Kim,
Mark Billinghurst
show all 9
Institutions:
Mokpo National University,
University of South Australia,
Korea Electronics Technology Institute,
Nara Institute of Science and Technology,
Keio University
Language:
English
Topic:
Gaze Tracking and Assistive Technology
Subfield:
Human-Computer Interaction
Field:
Computer Science
Domain:
Physical Sciences
Open Access status:
closed
OpenAlex ID:
W2737832740
FWCI:
2.481
Cites:
15
Cited by:
25
Related to:
10