{"id":5163,"date":"2025-07-23T21:52:34","date_gmt":"2025-07-23T19:52:34","guid":{"rendered":"https:\/\/www.cedint.upm.es\/biometrics-biosignals-security-and-smart-mobility\/"},"modified":"2026-03-09T16:30:44","modified_gmt":"2026-03-09T15:30:44","slug":"biometrics-biosignals-security-and-smart-mobility","status":"publish","type":"page","link":"https:\/\/www.cedint.upm.es\/en\/biometrics-biosignals-security-and-smart-mobility\/","title":{"rendered":"Biometrics, Biosignals, Security, and Smart Mobility"},"content":{"rendered":"\t\t
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A wide range of topics are covered in the areas of Biometrics, Biosignals, and Cryptography, including the design of biometric identification systems (monomodal and multimodal techniques, security evaluation, and liveness detection); stress detection systems based on physiological signals and the analysis and detection of biomarkers in human odor for medical and biometric purposes; public-key cryptography (elliptic and hyperelliptic curves, secure encryption and signature protocols); crypto-biometrics, particularly based on iris and fingerprint; cybersecurity; and medical image analysis. The area integrates advanced signal processing and machine learning methods to improve the accuracy and robustness of biometric systems. It also develops solutions focused on privacy protection and the secure management of digital identities. Its research is applied in both healthcare environments and security and access-control systems. <\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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