Signal vs Noise in Eye-tracking Data: Biometric Implications and Identity Information Across Frequencies
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arXiv
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| Autori principali: | , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2023
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| _version_ | 1866917642084810752 |
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| author | Raju, Mehedi H. Friedman, Lee Lohr, Dillon Komogortsev, Oleg |
| author_facet | Raju, Mehedi H. Friedman, Lee Lohr, Dillon Komogortsev, Oleg |
| contents | 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 deemed ``noise''. 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 the ``noise'' recordings, there might be significant individual differences. Our results confirm the ``signal'' predominantly contains identity-specific information, yet the ``noise'' 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2305_04413 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Signal vs Noise in Eye-tracking Data: Biometric Implications and Identity Information Across Frequencies Raju, Mehedi H. Friedman, Lee Lohr, Dillon Komogortsev, Oleg Human-Computer Interaction 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 deemed ``noise''. 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 the ``noise'' recordings, there might be significant individual differences. Our results confirm the ``signal'' predominantly contains identity-specific information, yet the ``noise'' 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. |
| title | Signal vs Noise in Eye-tracking Data: Biometric Implications and Identity Information Across Frequencies |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2305.04413 |