Improving eye-tracking data quality: A framework for reproducible evaluations of detection algorithms

DOI

The individual error scores for different pupil detection algorithms as reported in the manuscript "Improving eye-tracking data quality: A framework for reproducible evaluations of detection algorithms"

Identifier
DOI https://doi.org/10.25592/uhhfdm.13720
Related Identifier IsPartOf https://doi.org/10.25592/uhhfdm.13719
Metadata Access https://www.fdr.uni-hamburg.de/oai2d?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:fdr.uni-hamburg.de:13720
Provenance
Creator Christopher Lukas Gundler ORCID logo
Publisher Universität Hamburg
Publication Year 2023
Rights Creative Commons Attribution 4.0 International; Open Access; https://creativecommons.org/licenses/by/4.0/legalcode; info:eu-repo/semantics/openAccess
OpenAccess true
Representation
Resource Type Journal article; Text
Discipline Medicine