17 March 2008 Identification based on fusion of cardiovascular function measurements
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Abstract
Recent investigations indicate cardiovascular function is a viable biometric. This paper explores biometric techniques based on multiple modalities for sensing cardiovascular function. Analysis of data acquired with an electrocardiogram (ECG) combined with corresponding data from pulse oximetry and blood pressure indicates that features can be extracted from the signals, which correspond to individuals. While a person's heart rate can vary with mental and emotional state, certain features corresponding to the heartbeat appear to be unique to the individual. Our protocol induced a range of mental and emotional states in the subject and the analysis identifies features of the cardiovascular signals that are invariant to mental and emotional state. Furthermore, the three measures of cardiovascular function provide independent information, which can be fused to achieve robust performance compared to a single modality.
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Steven A. Israel, John M. Irvine, Brenda K. Wiederhold, and Mark D. Wiederhold "Identification based on fusion of cardiovascular function measurements", Proc. SPIE 6944, Biometric Technology for Human Identification V, 69440H (17 March 2008); doi: 10.1117/12.782247; https://doi.org/10.1117/12.782247
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