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An Extensive Study of User Identification via Eye Movements across
  Multiple Datasets

An Extensive Study of User Identification via Eye Movements across Multiple Datasets

Signal processing. Image communication (SPIC), 2021
10 November 2021
Sahar Mahdie Klim Al Zaidawi
Martin H. U. Prinzler
Jonas Lührs
Sebastian Maneth
ArXiv (abs)PDFHTMLGithub

Papers citing "An Extensive Study of User Identification via Eye Movements across Multiple Datasets"

3 / 3 papers shown
EyeTrAES: Fine-grained, Low-Latency Eye Tracking via Adaptive Event Slicing
EyeTrAES: Fine-grained, Low-Latency Eye Tracking via Adaptive Event SlicingProceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (IMWUT), 2024
Argha Sen
Nuwan Bandara
Ila Gokarn
Thivya Kandappu
Archan Misra
382
7
0
27 Sep 2024
User Identification via Free Roaming Eye Tracking Data
User Identification via Free Roaming Eye Tracking DataInteracción (HCII), 2024
Rishabh Vallabh Varsha Haria
Amin El Abed
Sebastian Maneth
151
1
0
14 Mar 2024
Predicting Gender via Eye Movements
Predicting Gender via Eye MovementsInteracción (IN), 2022
Rishabh Vallabh Varsha Haria
Sahar Mahdie Klim Al Zaidawi
Sebastian Maneth
80
2
0
15 Jun 2022
1
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