In this research, we investigated the performance of a continuous biometric authentication system for mobile devices under various different analysis techniques. We tested these on a publicly available swipe gestures database with 71 users, but the techniques can also be applied to other biometric modalities in a continuous setting. The best result obtained in this research is that (1) none of the 71 genuine users is lockout from the system; (2) for 68 users we require on average 4 swipe gestures to detect an imposter; (3) for the remaining 3 genuine users, on average 14 swipes are required while 4 impostors are not detected.
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