A First Approach to Contact-Based Biometrics for User Authentication
Identifieur interne : 001020 ( Istex/Corpus ); précédent : 001019; suivant : 001021A First Approach to Contact-Based Biometrics for User Authentication
Auteurs : Athanasios Vogiannou ; Konstantinos Moustakas ; Dimitrios Tzovaras ; Michael G. StrintzisSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2009.
Abstract
Abstract: This paper presents the concept of contact-based biometric features, which are behavioral biometric features related to the dynamic manipulation of objects that exist in the surrounding environment. The motivation behind the proposed features derives from activity-related biometrics and the extension of them to activities involving objects. The proposed approach exploits methods from different scientific fields, such as virtual reality, collision detection and pattern classification and is applicable to user authentication systems. Experimental results in a data-set of 20 subjects show that the introduced features comprise a very efficient and interesting approach in the research of biometric features.
Url:
DOI: 10.1007/978-3-642-01793-3_85
Links to Exploration step
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<Para>This paper presents the concept of contact-based biometric features, which are behavioral biometric features related to the dynamic manipulation of objects that exist in the surrounding environment. The motivation behind the proposed features derives from activity-related biometrics and the extension of them to activities involving objects. The proposed approach exploits methods from different scientific fields, such as virtual reality, collision detection and pattern classification and is applicable to user authentication systems. Experimental results in a data-set of 20 subjects show that the introduced features comprise a very efficient and interesting approach in the research of biometric features.</Para>
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<abstract lang="en">Abstract: This paper presents the concept of contact-based biometric features, which are behavioral biometric features related to the dynamic manipulation of objects that exist in the surrounding environment. The motivation behind the proposed features derives from activity-related biometrics and the extension of them to activities involving objects. The proposed approach exploits methods from different scientific fields, such as virtual reality, collision detection and pattern classification and is applicable to user authentication systems. Experimental results in a data-set of 20 subjects show that the introduced features comprise a very efficient and interesting approach in the research of biometric features.</abstract>
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