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2015 | OriginalPaper | Chapter

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

Authors : Faisal Ahmed, Marina Gavrilova

Published in: Transparency in Social Media

Publisher: 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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Metadata
Title
Biometric-Based User Authentication and Activity Level Detection in a Collaborative Environment
Authors
Faisal Ahmed
Marina Gavrilova
Copyright Year
2015
Book
Transparency in Social Media

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

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

Copyright Year: 2015

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

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