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Behavioral Biometrics: A Biosignal Based Approach

Behavioral Biometrics: A Biosignal Based Approach

Kenneth Revett
Copyright: © 2010 |Pages: 20
ISBN13: 9781605667256|ISBN10: 1605667250|ISBN13 Softcover: 9781616924041|EISBN13: 9781605667263
DOI: 10.4018/978-1-60566-725-6.ch005
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MLA

Revett, Kenneth. "Behavioral Biometrics: A Biosignal Based Approach." Behavioral Biometrics for Human Identification: Intelligent Applications, edited by Liang Wang and Xin Geng, IGI Global, 2010, pp. 101-120. https://doi.org/10.4018/978-1-60566-725-6.ch005

APA

Revett, K. (2010). Behavioral Biometrics: A Biosignal Based Approach. In L. Wang & X. Geng (Eds.), Behavioral Biometrics for Human Identification: Intelligent Applications (pp. 101-120). IGI Global. https://doi.org/10.4018/978-1-60566-725-6.ch005

Chicago

Revett, Kenneth. "Behavioral Biometrics: A Biosignal Based Approach." In Behavioral Biometrics for Human Identification: Intelligent Applications, edited by Liang Wang and Xin Geng, 101-120. Hershey, PA: IGI Global, 2010. https://doi.org/10.4018/978-1-60566-725-6.ch005

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Abstract

Behavioral biometrics is a relatively new form of authentication mechanism which relies on the way a person interacts with an authentication device. Traditional instances of this approach include voice, signature, and keystroke dynamics. Novel approaches to behavioral biometrics include biosignals, such as the electroencephalogram and the electrocardiogram. The biosignal approach to user authentication has been shown to produce equal error rates on par with more traditional behavioral biometric approaches. In addition, through a process similar to biofeedback, users can be trained with minimal effort to produce computer-based input via the manipulations of endogenous biosignal patterns. This chapter discusses the use of biosignal based biometrics, highlighting key studies and how this approach can be integrated into a multibiometric user authentication system.

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