PRINIA: Privacy-Preserving Facial Recognition Framework for Extended Reality Environments

Face recognition technology's integration into Extended Reality (XR) environments offers new opportunities but raises significant privacy and data protection concerns. Therefore, there is a critical need to develop privacy-preserving facial recognition solutions for XR applications that comply with data protection regulations. To address this challenge, we propose the PRINIA framework, which implements facial recognition in XR environments while safeguarding individuals' privacy and personal data. PRINIA is autonomous and compatible with broader technological frameworks like SERMAS, covering various XR scenarios, such as identifying users of head-mounted displays (HMDs), recognizing people in XR environments, and classifying individuals based on facial characteristics analysis.

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Publication Details

Published
2024-12-17
DOI
https://doi.org/10.1109/icca62237.2024.10928041
Primary Topic
Face recognition and analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

PRINIA: Privacy-Preserving Facial Recognition Framework for Extended Reality Environments

Efstathios Stavrakis, George E. Raptis, Christina Katsini, Nicholas Hadjisavvas
Face recognition and analysis
article

PRINIA: Privacy-Preserving Facial Recognition Framework for Extended Reality Environments

Efstathios Stavrakis, George E. Raptis, Christina Katsini, Nicholas Hadjisavvas
article en

Abstract

Face recognition technology's integration into Extended Reality (XR) environments offers new opportunities but raises significant privacy and data protection concerns. Therefore, there is a critical need to develop privacy-preserving facial recognition solutions for XR applications that comply with data protection regulations. To address this challenge, we propose the PRINIA framework, which implements facial recognition in XR environments while safeguarding individuals' privacy and personal data. PRINIA is autonomous and compatible with broader technological frameworks like SERMAS, covering various XR scenarios, such as identifying users of head-mounted displays (HMDs), recognizing people in XR environments, and classifying individuals based on facial characteristics analysis.

Limassol General Hospital (CY)
Reduced inequalities
Openalex Percentile: Top 71%
Face recognition and analysis
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