Combining Mouse and Eye Movement Biometrics for User Authentication

October 19, 2016
2:00 pm - 5:30 pm
Hall C

Track: ACM SRC
Type: Posters
Level: All

Previous studies show that an authentication system built on mouse movement tracking and also on eye movement tracking is effective. Features are selected for use in a neural network based regression model using fusion. The experimental results show that the regression model using fusion is able to authenticate a user with a False Acceptance Rate of 8.2% and a False Rejection Rate of 6.7%.


, Western Washington University