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5 May 2009 Laser Doppler vibrometry measurements of the carotid pulse: biometrics using hidden Markov models
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Abstract
Small movements of the skin overlying the carotid artery, arising from pressure pulse changes in the carotid during the cardiac cycle, can be detected using the method of Laser Doppler Vibrometry (LDV). Based on the premise that there is a high degree of individuality in cardiovascular function, the pulse-related movements were modeled for biometric use. Short time variations in the signal due to physiological factors are described and these variations are shown to be informative for identity verification and recognition. Hidden Markov models (HMMs) are used to exploit the dependence between the pulse signals over successive cardiac cycles. The resulting biometric classification performance confirms that the LDV signal contains information that is unique to the individual.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Alan D. Kaplan, Joseph A. O'Sullivan, Erik J. Sirevaag, and John W. Rohrbaugh "Laser Doppler vibrometry measurements of the carotid pulse: biometrics using hidden Markov models", Proc. SPIE 7306, Optics and Photonics in Global Homeland Security V and Biometric Technology for Human Identification VI, 730624 (5 May 2009); https://doi.org/10.1117/12.818558
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