An extensive study of user identification via eye movements across multiple datasets
- DOI
- 10.1016/j.image.2022.116804
- Published
- 2022-10
- Container
- Signal Processing: Image Communication
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.image.2022.116804,
title = {An extensive study of user identification via eye movements across multiple datasets},
author = {Sahar Mahdie Klim Al Zaidawi and Martin H.U. Prinzler and Jonas Lührs and Sebastian Maneth},
year = {2022},
journal = {Signal Processing: Image Communication},
doi = {10.1016/j.image.2022.116804},
url = {https://doi.org/10.1016/j.image.2022.116804}
}RIS
TY - JOUR TI - An extensive study of user identification via eye movements across multiple datasets AU - Sahar Mahdie Klim Al Zaidawi AU - Martin H.U. Prinzler AU - Jonas Lührs AU - Sebastian Maneth PY - 2022 JO - Signal Processing: Image Communication DO - 10.1016/j.image.2022.116804 UR - https://doi.org/10.1016/j.image.2022.116804 ER -
APA
Zaidawi, S. M. K. A., Prinzler, M. H., Lührs, J., & Maneth, S. (2022). An extensive study of user identification via eye movements across multiple datasets. Signal Processing: Image Communication. https://doi.org/10.1016/j.image.2022.116804
Source records
- crossref · retrieved 2026-09-25T06:50:10.502Z