Eye tracking data set of academics making an omelette: An egg-breaking work-Reference-Cited by-同舟云学术

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Eye tracking data set of academics making an omelette: An egg-breaking work

Published:2024-06-04 Issue: Volume: Page:1-3
ISSN:
Container-title:Proceedings of the 2024 Symposium on Eye Tracking Research and Applications
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Author:

Sauer Yannick¹^ORCID,Agarwala Rajat²^ORCID,Lenhart Patrizia³^ORCID,Lendway Regine³^ORCID,Severitt Björn²^ORCID,Neugebauer Alexander²^ORCID,Hosp Benedikt Werner²^ORCID,Castner Nora Jane¹^ORCID,Wahl Siegfried⁴^ORCID

Affiliation:

1. ZEISS Vision Science Lab, Carl Zeiss Vision International GmbH, Germany

2. ZEISS Vision Science Lab, University of Tübingen, Germany

3. University of Tübingen, Germany

4. University of Tübingen, Institute for Ophthalmic Research, Germany and Carl Zeiss Vision International GmbH, Germany

Funder

German Research Foundation (DFG): SFB 1233

European Union?s Horizon 2020 research and innovation program

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3649902.3655657

Reference11 articles.

1. A classification method of cooking operations based on eye movement patterns

2. Integrating digital media into everyday culinary practices

3. Classifying mobile eye tracking data with hidden Markov models

4. Using synchronized eye and motion tracking to determine high-precision eye-movement patterns during object-interaction tasks

5. Yin Li, Miao Liu, and James M. Rehg. 2020. In the Eye of the Beholder: Gaze and Actions in First Person Video. arxiv:2006.00626 [cs.CV]

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