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Proceedings Paper

Identification based on fusion of cardiovascular function measurements
Author(s): Steven A. Israel; John M. Irvine; Brenda K. Wiederhold; Mark D. Wiederhold
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Paper 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.

Paper Details

Date Published: 17 March 2008
PDF: 8 pages
Proc. SPIE 6944, Biometric Technology for Human Identification V, 69440H (17 March 2008); doi: 10.1117/12.782247
Show Author Affiliations
Steven A. Israel, Science Applications International Corp. (United States)
John M. Irvine, Science Applications International Corp. (United States)
Brenda K. Wiederhold, The Virtual Reality Medical Ctr. (United States)
Mark D. Wiederhold, The Virtual Reality Medical Ctr. (United States)


Published in SPIE Proceedings Vol. 6944:
Biometric Technology for Human Identification V
B.V.K. Vijaya Kumar; Salil Prabhakar; Arun A. Ross, Editor(s)

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