Name
Title | ||
|---|---|---|
Biometric verification with eye movements: results from a long-term recording series. |
Abstract | ||
|---|---|---|
The authors present the author's results of using saccadic eye movements for biometric user verification. The method can be applied to computers or other devices, in which it is possible to include an eye movement camera system. Thus far, this idea has been little researched. As they have extensively studied eye movement signals for medical applications, they saw an opportunity for the biometric u... |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1049/iet-bmt.2014.0044 | IET Biometrics |
Keywords | Field | DocType |
cameras,gaze tracking,iris recognition,signal detection | Computer vision,Angular velocity,Detection theory,Latency (engineering),Computer science,Eye tracking on the ISS,Eye tracking,Eye movement,Artificial intelligence,Biometrics,Saccadic masking | Journal |
Volume | Issue | ISSN |
4 | 3 | 2047-4938 |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Youming Zhang | 1 | 0 | 0.68 |
| Jorma Laurikkala | 2 | 345 | 24.82 |
| Martti Juhola | 3 | 456 | 63.94 |