Sex and age estimation from cardiac signals captured via radar using data augmentation and deep learning: a privacy concern

These findings reveal a potential privacy risk associated with radar-based biometric systems. The ability to infer sensitive demographic information from physiological signals could have serious implications, particularly in secure applications such as electronic passports (e-passports), where access to RFID chip data often depends on such personal attributes. Therefore, while radar technologies offer promising advantages, their deployment must consider and address the associated privacy challenges.

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Publication Details

Journal
Frontiers in Digital Health
Published
2025-11-14
DOI
https://doi.org/10.3389/fdgth.2025.1616770
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
Field-Weighted Citation Impact
0.00

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article

Sex and age estimation from cardiac signals captured via radar using data augmentation and deep learning: a privacy concern

Pedro Peris‐Lopez, Carmen Cámara, Daniel Foronda-Pascual
Frontiers in Digital Health
Non-Invasive Vital Sign Monitoring
article

Sex and age estimation from cardiac signals captured via radar using data augmentation and deep learning: a privacy concern

Pedro Peris‐Lopez, Carmen Cámara, Daniel Foronda-Pascual
article en

Abstract

These findings reveal a potential privacy risk associated with radar-based biometric systems. The ability to infer sensitive demographic information from physiological signals could have serious implications, particularly in secure applications such as electronic passports (e-passports), where access to RFID chip data often depends on such personal attributes. Therefore, while radar technologies offer promising advantages, their deployment must consider and address the associated privacy challenges.

Frontiers in Digital HealthVol. 7
Universidad Carlos III de Madrid (ES)
Ministerio de Ciencia, Innovación y Universidades, European Commission, Instituto Nacional de Ciberseguridad
Openalex Percentile: Top 67%
Non-Invasive Vital Sign Monitoring
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