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.
Authors
- Pedro Peris‐Lopez (ORCID: https://orcid.org/0000-0001-6943-0760)
- Carmen Cámara (ORCID: https://orcid.org/0000-0002-2728-8724)
- Daniel Foronda-Pascual
Institutions
- Universidad Carlos III de Madrid (ES)
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
Funders
- Ministerio de Ciencia, Innovación y Universidades
- European Commission
- Instituto Nacional de Ciberseguridad