MPIIEgoFixation : Fixation Detection for Head-Mounted Eye Tracking Based on Visual Similarity of Gaze Targets
A. Bulling. Dataset, (2022)Related to: Julian Steil, Michael Xuelin Huang, Andreas Bulling. 2018. Fixation Detection for Head-Mounted Eye Tracking Based on Visual Similarity of Gaze Targets. In Proceedings of the ACM International Symposium on Eye Tracking Research and Applications (ETRA), pp. 1-9. doi: 10.1145/3204493.3204538.
DOI: 10.18419/darus-3234
Abstract
This dataset is made up of handmade fixation annotations for a subset of the private dataset created in Yusuke Sugano and Andreas Bulling. 2015. Self-calibrating head-mounted eye trackers using egocentric visual saliency. In Proceedings of the 28th Annual ACM Symposium on User Interface Software & Technology. ACM, 363-372. https://doi.org/10.1145/2807442.28074455 participants (four males, one female)ages 20-335 videos of participants walking, each lasting five minutes (i.e. 9,000 frames each)human fixation annotations for each frame
Related to: Julian Steil, Michael Xuelin Huang, Andreas Bulling. 2018. Fixation Detection for Head-Mounted Eye Tracking Based on Visual Similarity of Gaze Targets. In Proceedings of the ACM International Symposium on Eye Tracking Research and Applications (ETRA), pp. 1-9. doi: 10.1145/3204493.3204538
%0 Generic
%1 bulling2022mpiiegofixation
%A Bulling, Andreas
%D 2022
%K darus ubs_10005 ubs_20008 ubs_30086 ubs_40336 unibibliografie
%R 10.18419/darus-3234
%T MPIIEgoFixation : Fixation Detection for Head-Mounted Eye Tracking Based on Visual Similarity of Gaze Targets
%X This dataset is made up of handmade fixation annotations for a subset of the private dataset created in Yusuke Sugano and Andreas Bulling. 2015. Self-calibrating head-mounted eye trackers using egocentric visual saliency. In Proceedings of the 28th Annual ACM Symposium on User Interface Software & Technology. ACM, 363-372. https://doi.org/10.1145/2807442.28074455 participants (four males, one female)ages 20-335 videos of participants walking, each lasting five minutes (i.e. 9,000 frames each)human fixation annotations for each frame
@misc{bulling2022mpiiegofixation,
abstract = {This dataset is made up of handmade fixation annotations for a subset of the private dataset created in Yusuke Sugano and Andreas Bulling. 2015. Self-calibrating head-mounted eye trackers using egocentric visual saliency. In Proceedings of the 28th Annual ACM Symposium on User Interface Software & Technology. ACM, 363-372. https://doi.org/10.1145/2807442.28074455 participants (four males, one female)ages 20-335 videos of participants walking, each lasting five minutes (i.e. 9,000 frames each)human fixation annotations for each frame },
added-at = {2022-11-14T16:46:48.000+0100},
affiliation = {Bulling, Andreas/Universität Stuttgart},
author = {Bulling, Andreas},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/22fb5973b0588c72fd8ea1e8e206e6a89/unibiblio},
doi = {10.18419/darus-3234},
howpublished = {Dataset},
interhash = {329f55b907456578fbf28cebaec89014},
intrahash = {2fb5973b0588c72fd8ea1e8e206e6a89},
keywords = {darus ubs_10005 ubs_20008 ubs_30086 ubs_40336 unibibliografie},
note = {Related to: Julian Steil, Michael Xuelin Huang, Andreas Bulling. 2018. Fixation Detection for Head-Mounted Eye Tracking Based on Visual Similarity of Gaze Targets. In Proceedings of the ACM International Symposium on Eye Tracking Research and Applications (ETRA), pp. 1-9. doi: 10.1145/3204493.3204538},
orcid-numbers = {Bulling, Andreas/0000-0001-6317-7303},
timestamp = {2023-01-31T11:12:46.000+0100},
title = {MPIIEgoFixation : Fixation Detection for Head-Mounted Eye Tracking Based on Visual Similarity of Gaze Targets},
year = 2022
}