Abstract #301577

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JSM 2003 Abstract #301577
Activity Number: 417
Type: Contributed
Date/Time: Wednesday, August 6, 2003 : 2:00 PM to 3:50 PM
Sponsor: Section on Teaching of Statistics in the Health Sciences
Abstract - #301577
Title: A New Biometric: Human Identification from Circulatory Function
Author(s): John M. Irvine*+ and Steven Israel and Mark Wiederhold and Brenda Wiederhold
Companies: SAIC and SAIC and SAIC and Virtual Reality Medical Center
Address: 20 Burlington Mall Rd., Burlington, MA, 01803-4123,
Keywords: biometrics ; human identification ; ECG ; EKG ; circulatory function
Abstract:

Numerous biometric techniques exist for verifying the identity of individuals. Traditional biometrics include fingerprint, face, and iris recognition. This paper presents a new biometric technique based on observation of physiological functions related to circulation. In particular, we present a biometric technique based on the subject's electrocardiogram. The development and validation of these new biometric techniques pose some interesting challenges. Since a person's heart rate can vary with mental and emotional state, we developed a data collection protocol in which subjects perform a variety of tasks designed to elicit varying levels of stress or excitement. In developing and validating the new biometrics, it is necessary to identify features in the physiometric signals that are unique to individuals, but invariant to mental and emotional state. An estimate of the subject's mental state, based on coincident physiological data, can be used to refine the data processing and classification techniques. We present the experiment procedures, summarize the data analysis and processing, and present initial performance results.

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