Eye-Tracking Data Extension for Omnidirectional Image Quality Assessment Database (OMNIQAD)-Reference-Cited by-同舟云学术

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Eye-Tracking Data Extension for Omnidirectional Image Quality Assessment Database (OMNIQAD)

Published:2024-04-17 Issue: Volume: Page:1-4
ISSN:
Container-title:2024 34th International Conference Radioelektronika (RADIOELEKTRONIKA)
language:
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Author:

Novotny Martin¹,Fliegel Karel¹,Simka Marek²,Polak Ladislav²,Kufa Jan²

Affiliation:

1. Czech Technical University in Prague,Faculty of Electrical Engineering,Department of Radioelectronics,Prague,Czech Republic

2. Brno University of Technology,Faculty of Electrical Engineering and Communication,Department of Radioelectronics,Brno,Czech Republic

Funder

Ministry of Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10523709/10524049/10524066.pdf?arnumber=10524066

Reference14 articles.

1. Exploiting sensing devices availability in AR/VR deployments to foster engagement

2. A crowdsourced system for robust eye tracking

3. Assessing Saccadic Eye Movements With Head-Mounted Display Virtual Reality Technology

4. Universal Access in Human-Computer Interaction

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