Name
Abstract | ||
|---|---|---|
This paper presents the first attempt to fuse two different kinds of behavioral biometrics: mouse dynamics and eye movement biometrics. Mouse dynamics were collected without any special equipment, while an affordable The Eye Tribe eye tracker was used to gather eye movement data at a frequency of 30 Hz, which is also potentially possible using a common web camera. We showed that a fusion of these techniques is quite natural and it is easy to prepare an experiment that collects both traits simultaneously. Moreover, the fusion of information from both signals gave 6.8 % equal error rate and 92.9 % accuracy for relatively short registration time (20 s on average). Achieving such results were possible using dissimilarity matrices based on dynamic time warping distance. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/s10044-016-0568-5 | Pattern Anal. Appl. |
Keywords | Field | DocType |
Eye movement, Mouse dynamics, Biometric fusion | Computer vision,Work in process,Permutation,SIMD,Eye movement,Artificial intelligence,Biometrics,Biometric fusion,Snapshot (computer storage),Mathematics,Encoding (memory) | Journal |
Volume | Issue | ISSN |
21 | 1 | 1433-755X |
Citations | PageRank | References |
6 | 0.42 | 35 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pawel Kasprowski | 1 | 76 | 12.99 |
| Katarzyna Harezlak | 2 | 45 | 11.59 |