eigenPulse: Robust human identification from cardiovascular function
Pattern Recognition
Robust ECG Biometrics by Fusing Temporal and Cepstral Information
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
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The paper proposes a cryptographic system in which the encryption key has been associated both with the existing methods of verification of identity (knowledge and physical identifiers) as well as with biometrics. This combination allows spreading information about the marker and binding his relationship with the person entitled to use it. Biometric markers were extracted from the recorded voice and ECG signals which included the response of subjects to specific audio and visual stimuli. Results obtained from the experiments demonstrate the validity of presented concepts.