Eye Movement Biometrics on Wearable Devices: What Are the Limits?

This paper presents a study of the perspectives of eye tracking on wearable devices and their use to perform eye movement biometrics. In such devices, the reduction in power consumption is very important, and can be partially achieved by reducing the size of the eye-tracking imaging sensor. In this preliminary work, we conduct two experiments: first we investigate the limits of the captured eye-image resolution to achieve acceptable eye-tracking precision, and then, we explore the effects from degradation in precision, simulated via the addition of dithering noise, on the applied scenario of eye movement biometrics. Our results provide detailed insights for the expected behavior of eye movement biometrics in resource-constraint systems.