Paper Info
Title
Biometric Identification Using Gaze and Mouse Dynamics During Game Playing.
Abstract
The paper presents a method, developed for identifying people based on their mouse and gaze dynamics obtained between two mouse clicks. The data used to evaluate the method was collected when participants were playing a simple shooting game. Various statistics were calculated taking mouse and gaze speed and acceleration into account. 24 participants took part in the experiment conducted to check if the proposed method may be applied for identification and authentication purposes. Although, the obtained averaged results (EER 11% and F1-score 90%) showed that statistics calculated for a combination of recorded mouse and gaze positions may be successfully used for authenticating people, it must be noticed that there were significant differences in performance among participants. For about half of them the results were satisfactory, with the best EER 4% and F1-score 99%, while for the worst participant EER equal to 23% and F1-score to 76% were obtained. These results suggest that finding one set of features that is suitable for every person may be a challenging task. It may imply that for behavioral biometric building separate sets of features for each enrolled person should be considered.
Year
DOI
Venue
2018
10.1007/978-3-319-99987-6_38
Communications in Computer and Information Science
Keywords
Field
DocType
Biometric identification,Mouse,Gaze
Authentication,Gaze,Computer science,Speech recognition,Biometrics,Game playing
Conference
Volume
ISSN
Citations 
928
1865-0929
0
PageRank 
References 
Authors
0.34
16
2
Name
Order
Citations
PageRank
Pawel Kasprowski17612.99
Katarzyna Harezlak24511.59