Combining Mouse and Eye Movement Biometrics for User Authentication
October 19, 2016
Track: ACM SRC
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%.