Radar-Based Invisible Biometric Authentication
Bio-Radar (BR) systems have shown great promise for biometric applications. Conventional methods can be forged, or fooled. Even alternative methods intrinsic to the user, such as the Electrocardiogram (ECG), present drawbacks as they require contact with the sensor. Therefore, research has turned to...
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MDPI AG
2024-01-01
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| Series: | Information |
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| Online Access: | https://www.mdpi.com/2078-2489/15/1/44 |
| _version_ | 1827371824707534848 |
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| author | Maria Louro da Silva Carolina Gouveia Daniel Filipe Albuquerque Hugo Plácido da Silva |
| author_facet | Maria Louro da Silva Carolina Gouveia Daniel Filipe Albuquerque Hugo Plácido da Silva |
| author_sort | Maria Louro da Silva |
| collection | DOAJ |
| description | Bio-Radar (BR) systems have shown great promise for biometric applications. Conventional methods can be forged, or fooled. Even alternative methods intrinsic to the user, such as the Electrocardiogram (ECG), present drawbacks as they require contact with the sensor. Therefore, research has turned towards alternative methods, such as the BR. In this work, a BR dataset with 20 subjects exposed to different emotion-eliciting stimuli (happiness, fearfulness, and neutrality) in different dates was explored. The spectral distributions of the BR signal were studied as the biometric template. Furthermore, this study included the analysis of respiratory and cardiac signals separately, as well as their fusion. The main test devised was authentication, where a system seeks to validate an individual’s claimed identity. With this test, it was possible to infer the feasibility of these type of systems, obtaining an Equal Error Rate (EER) of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>3.48</mn><mo>%</mo></mrow></semantics></math></inline-formula> if the training and testing data are from the same day and within the same emotional stimuli. In addition, the time and emotion results dependency is fully analysed. Complementary tests such as sensitivity to the number of users were also performed. Overall, it was possible to achieve an evaluation and consideration of the potential of BR systems for biometrics. |
| first_indexed | 2024-03-08T10:47:08Z |
| format | Article |
| id | doaj.art-534a38e83a3c4dbda5b7ce7048bce03a |
| institution | Directory Open Access Journal |
| issn | 2078-2489 |
| language | English |
| last_indexed | 2024-03-08T10:47:08Z |
| publishDate | 2024-01-01 |
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| spelling | doaj.art-534a38e83a3c4dbda5b7ce7048bce03a2024-01-26T17:03:47ZengMDPI AGInformation2078-24892024-01-011514410.3390/info15010044Radar-Based Invisible Biometric AuthenticationMaria Louro da Silva0Carolina Gouveia1Daniel Filipe Albuquerque2Hugo Plácido da Silva3Department of Bioengineering, Instituto Superior Técnico, University of Lisbon, 1049-001 Lisbon, PortugalInstitute of Electronics and Informatics Engineering of Aveiro, Department of Electronics, Telecommunications and Informatics, University of Aveiro, 3810-193 Aveiro, PortugalInstitute of Electronics and Informatics Engineering of Aveiro, Department of Electronics, Telecommunications and Informatics, University of Aveiro, 3810-193 Aveiro, PortugalDepartment of Bioengineering, Instituto Superior Técnico, University of Lisbon, 1049-001 Lisbon, PortugalBio-Radar (BR) systems have shown great promise for biometric applications. Conventional methods can be forged, or fooled. Even alternative methods intrinsic to the user, such as the Electrocardiogram (ECG), present drawbacks as they require contact with the sensor. Therefore, research has turned towards alternative methods, such as the BR. In this work, a BR dataset with 20 subjects exposed to different emotion-eliciting stimuli (happiness, fearfulness, and neutrality) in different dates was explored. The spectral distributions of the BR signal were studied as the biometric template. Furthermore, this study included the analysis of respiratory and cardiac signals separately, as well as their fusion. The main test devised was authentication, where a system seeks to validate an individual’s claimed identity. With this test, it was possible to infer the feasibility of these type of systems, obtaining an Equal Error Rate (EER) of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>3.48</mn><mo>%</mo></mrow></semantics></math></inline-formula> if the training and testing data are from the same day and within the same emotional stimuli. In addition, the time and emotion results dependency is fully analysed. Complementary tests such as sensitivity to the number of users were also performed. Overall, it was possible to achieve an evaluation and consideration of the potential of BR systems for biometrics.https://www.mdpi.com/2078-2489/15/1/44bio-radarbiometricselectrocardiogramsupport vector machines |
| spellingShingle | Maria Louro da Silva Carolina Gouveia Daniel Filipe Albuquerque Hugo Plácido da Silva Radar-Based Invisible Biometric Authentication Information bio-radar biometrics electrocardiogram support vector machines |
| title | Radar-Based Invisible Biometric Authentication |
| title_full | Radar-Based Invisible Biometric Authentication |
| title_fullStr | Radar-Based Invisible Biometric Authentication |
| title_full_unstemmed | Radar-Based Invisible Biometric Authentication |
| title_short | Radar-Based Invisible Biometric Authentication |
| title_sort | radar based invisible biometric authentication |
| topic | bio-radar biometrics electrocardiogram support vector machines |
| url | https://www.mdpi.com/2078-2489/15/1/44 |
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