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Signal vs Noise in Eye-tracking Data: Biometric Implications and Identity Information Across Frequencies (2305.04413v2)

Published 8 May 2023 in cs.HC

Abstract: Prior research states that frequencies below 75 Hz in eye-tracking data represent the primary eye movement termed signal'' while those above 75 Hz are deemednoise''. This study examines the biometric significance of this signal-noise distinction and its privacy implications. There are important individual differences in a person's eye movement, which lead to reliable biometric performance in the signal'' part. Despite minimal eye-movement information in thenoise'' recordings, there might be significant individual differences. Our results confirm the signal'' predominantly contains identity-specific information, yet thenoise'' also possesses unexpected identity-specific data. This consistency holds for both short-(approx. 20 min) and long-term (approx. 1 year) biometric evaluations. Understanding the location of identity data within the eye movement spectrum is essential for privacy preservation.

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