Toward a non-intrusive, physio-behavioral biometric for smartphones

Esther Vasiete; Vishal Patel; Yan Chen; Larry Davis; Ian Char; Rama Chellappa; Tom Yeh

doi:10.1145/2628363.2634223

Toward a non-intrusive, physio-behavioral biometric for smartphones

Esther Vasiete, Vishal Patel, Yan Chen, Larry Davis, Ian Char, Rama Chellappa, Tom Yeh

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

10 Scopus citations

Abstract

Biometric authentication relies on an individual's inner characteristics and traits. We propose an active authentication system on a mobile device that relies on two biometric modalities: 3D gestures and face recognition. The novelty of our approach is to combine 3D gesture and face recognition in a non-intrusive and unconstrained environment; the active authentication system is running in the background while the user is performing his/her main task.

Original language	English (US)
Title of host publication	MobileHCI 2014 - Proceedings of the 16th ACM International Conference on Human-Computer Interaction with Mobile Devices and Services
Publisher	Association for Computing Machinery
Pages	501-506
Number of pages	6
ISBN (Electronic)	9781450327718
DOIs	https://doi.org/10.1145/2628363.2634223
State	Published - Sep 23 2014
Externally published	Yes
Event	16th ACM International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2014 - Toronto, Canada Duration: Sep 23 2014 → Sep 26 2014

Publication series

Name	MobileHCI 2014 - Proceedings of the 16th ACM International Conference on Human-Computer Interaction with Mobile Devices and Services

Other

Other	16th ACM International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2014
Country/Territory	Canada
City	Toronto
Period	9/23/14 → 9/26/14

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Human-Computer Interaction
Electrical and Electronic Engineering

Keywords

3D gesture recognition
Behavioral biometric authentication
Face recognition
Fusion system

Access to Document

10.1145/2628363.2634223

Cite this

Vasiete, E., Patel, V., Chen, Y., Davis, L., Char, I., Chellappa, R., & Yeh, T. (2014). Toward a non-intrusive, physio-behavioral biometric for smartphones. In MobileHCI 2014 - Proceedings of the 16th ACM International Conference on Human-Computer Interaction with Mobile Devices and Services (pp. 501-506). (MobileHCI 2014 - Proceedings of the 16th ACM International Conference on Human-Computer Interaction with Mobile Devices and Services). Association for Computing Machinery. https://doi.org/10.1145/2628363.2634223

Vasiete, Esther ; Patel, Vishal ; Chen, Yan et al. / Toward a non-intrusive, physio-behavioral biometric for smartphones. MobileHCI 2014 - Proceedings of the 16th ACM International Conference on Human-Computer Interaction with Mobile Devices and Services. Association for Computing Machinery, 2014. pp. 501-506 (MobileHCI 2014 - Proceedings of the 16th ACM International Conference on Human-Computer Interaction with Mobile Devices and Services).

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abstract = "Biometric authentication relies on an individual's inner characteristics and traits. We propose an active authentication system on a mobile device that relies on two biometric modalities: 3D gestures and face recognition. The novelty of our approach is to combine 3D gesture and face recognition in a non-intrusive and unconstrained environment; the active authentication system is running in the background while the user is performing his/her main task.",

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author = "Esther Vasiete and Vishal Patel and Yan Chen and Larry Davis and Ian Char and Rama Chellappa and Tom Yeh",

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booktitle = "MobileHCI 2014 - Proceedings of the 16th ACM International Conference on Human-Computer Interaction with Mobile Devices and Services",

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Vasiete, E, Patel, V, Chen, Y, Davis, L, Char, I, Chellappa, R & Yeh, T 2014, Toward a non-intrusive, physio-behavioral biometric for smartphones. in MobileHCI 2014 - Proceedings of the 16th ACM International Conference on Human-Computer Interaction with Mobile Devices and Services. MobileHCI 2014 - Proceedings of the 16th ACM International Conference on Human-Computer Interaction with Mobile Devices and Services, Association for Computing Machinery, pp. 501-506, 16th ACM International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2014, Toronto, Canada, 9/23/14. https://doi.org/10.1145/2628363.2634223

Toward a non-intrusive, physio-behavioral biometric for smartphones. / Vasiete, Esther; Patel, Vishal; Chen, Yan et al.

MobileHCI 2014 - Proceedings of the 16th ACM International Conference on Human-Computer Interaction with Mobile Devices and Services. Association for Computing Machinery, 2014. p. 501-506 (MobileHCI 2014 - Proceedings of the 16th ACM International Conference on Human-Computer Interaction with Mobile Devices and Services).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Yeh, Tom

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AB - Biometric authentication relies on an individual's inner characteristics and traits. We propose an active authentication system on a mobile device that relies on two biometric modalities: 3D gestures and face recognition. The novelty of our approach is to combine 3D gesture and face recognition in a non-intrusive and unconstrained environment; the active authentication system is running in the background while the user is performing his/her main task.

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Vasiete E, Patel V, Chen Y, Davis L, Char I, Chellappa R et al. Toward a non-intrusive, physio-behavioral biometric for smartphones. In MobileHCI 2014 - Proceedings of the 16th ACM International Conference on Human-Computer Interaction with Mobile Devices and Services. Association for Computing Machinery. 2014. p. 501-506. (MobileHCI 2014 - Proceedings of the 16th ACM International Conference on Human-Computer Interaction with Mobile Devices and Services). doi: 10.1145/2628363.2634223

Toward a non-intrusive, physio-behavioral biometric for smartphones

Abstract

Publication series

Other

All Science Journal Classification (ASJC) codes

Keywords

Access to Document

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