Combining Mouse and Eye Movement Biometrics for User AuthenticationOctober 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%. Speaker(s)
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