Eye Know You: Metric Learning for End-to-end Biometric Authentication Using Eye Movements from a Longitudinal Dataset. (arXiv:2104.10489v2 [cs.HC] UPDATED)

The permanence of eye movements as a biometric modality remains largely
unexplored in the literature. The present study addresses this limitation by
evaluating a novel exponentially-dilated convolutional neural network for eye
movement authentication using a recently proposed longitudinal dataset known as
GazeBase. The network is trained using multi-similarity loss, which directly
enables the enrollment and authentication of out-of-sample users. In addition,
this study includes an exhaustive analysis of the effects of evaluating on
various tasks and downsampling from 1000 Hz …

arxiv authentication biometric dataset learning movements