MPIIEgoFixation

DOI

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/10.1145/2807442.2807445

5 participants (four males, one female) ages 20–33 5 videos of participants walking, each lasting five minutes (i.e. 9,000 frames each) human fixation annotations for each frame

The data is only to be used for non-commercial scientific purposes.

Identifier
DOI https://doi.org/10.18419/darus-3234
Related Identifier IsCitedBy https://doi.org/10.1145/3204493.3204538
Metadata Access https://darus.uni-stuttgart.de/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18419/darus-3234
Provenance
Creator Bulling, Andreas ORCID logo
Publisher DaRUS
Contributor Bulling, Andreas
Publication Year 2022
Funding Reference DFG EXC 284 - 39134088 ; JST CREST research grant, Japan JPMJCR14E1
Rights CC BY-NC-SA 4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by-nc-sa/4.0
OpenAccess true
Contact Bulling, Andreas (Universität Stuttgart)
Representation
Resource Type eye gaze fixations; Dataset
Format text/plain; application/octet-stream; text/tab-separated-values
Size 108; 1595600; 1530980; 1513930; 1402410; 1523960; 1042677; 881868; 954703; 959724; 998714; 12968; 13616; 9680; 11312; 9296; 20623; 13990; 14590; 17063; 19598; 2549
Version 1.0
Discipline Other