Name
Abstract | ||
|---|---|---|
We study involuntary micro-movements of the eye for biometric identification. While prior studies extract lower-frequency macro-movements from the output of video-based eye-tracking systems and engineer explicit features of these macro-movements, we develop a deep convolutional architecture that processes the raw eye-tracking signal. Compared to prior work, the network attains a lower error rate by one order of magnitude and is faster by two orders of magnitude: it identifies users accurately within seconds. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1007/978-3-030-46147-8_18 | CoRR |
DocType | Volume | ISSN |
Journal | abs/1906.11889 | in Brefeld, Fromont, Knobbe, Hotho, Maathuis, Robardet (Eds.).
Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2019. LNCS,
Springer Nature, Cham, Switzerland |
Citations | PageRank | References |
1 | 0.36 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lena A. Jäger | 1 | 1 | 0.36 |
| Silvia Makowski | 2 | 3 | 1.41 |
| Paul Prasse | 3 | 13 | 3.45 |
| Sascha Liehr | 4 | 1 | 0.36 |
| Maximilian Seidler | 5 | 1 | 0.36 |
| Tobias Scheffer | 6 | 1862 | 139.64 |