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Erschienen in:
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2015 | OriginalPaper | Buchkapitel

Biometric-Based User Authentication and Activity Level Detection in a Collaborative Environment

verfasst von : Faisal Ahmed, Marina Gavrilova

Erschienen in: Transparency in Social Media

Verlag: Springer International Publishing

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Abstract

In recent years, research on behavioral biometrics has led to a set of reliable, efficient, and versatile tools of enabling user authentication and discretionary access control to a secure resource or system. This chapter presents a new direction of biometrics research focused not only on behavior-mediated user authentication, but also on individual activity detection and collaborative behavior analysis during meeting room activities. The discussion is grounded on utilizing different physiological and behavioral biometrics, such as gait, face, and voice in order to construct a multi-modal and unobtrusive intelligent meeting room system. The designed system should have the ability to automatically recognize participants and analyze collaborative behavioral patterns by tracking user location, detecting certain activities, tracking individual mood and contribution level, and analyzing group activities.

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Metadaten
Titel
Biometric-Based User Authentication and Activity Level Detection in a Collaborative Environment
verfasst von
Faisal Ahmed
Marina Gavrilova
Copyright-Jahr
2015
Buch
Transparency in Social Media

Print ISBN: 978-3-319-18551-4

Electronic ISBN: 978-3-319-18552-1

Copyright-Jahr: 2015

DOI
https://doi.org/10.1007/978-3-319-18552-1_9

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