Result: Unobtrusive multimodal biometrics for ensuring privacy and information security with personal devices

Title:
Unobtrusive multimodal biometrics for ensuring privacy and information security with personal devices
Authors:
VILDJIOUNAITE, Elena, MÄKELÄ, Satu-Marja, LINDHOLM, Mikko, RIIHIMÄKI, Reima, KYLLÖNEN, Vesa, MANTYJÄRVI, Jani, AILISTO, Heikki
Source:
Pervasive computing (4th international conference, PERVASIVE 2006, Dublin, Ireland, May 7-10, 2006)0PERVASIVE 2006. :187-201
Publisher Information:
Berlin; New York: Springer, 2006.
Publication Year:
2006
Physical Description:
print, 31 ref 1
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Logiciel, Software, Systèmes informatiques et systèmes répartis. Interface utilisateur, Computer systems and distributed systems. User interface, Organisation des mémoires. Traitement des données, Memory organisation. Data processing, Gestion des mémoires et des fichiers (y compris la protection et la sécurité des fichiers), Memory and file management (including protection and security), Intelligence artificielle, Artificial intelligence, Reconnaissance des formes. Traitement numérique des images. Géométrie algorithmique, Pattern recognition. Digital image processing. Computational geometry, Allure, Gait, Marcha, Authentification, Authentication, Autenticación, Besoin de l'utilisateur, User need, Necesidad usuario, Biométrie, Biometrics, Biometría, Confidentialité, Confidentiality, Confidencialidad, Contrôle accès, Access control, Dactyloscopie, Fingerprint identification, Empreinte digitale, Fingerprint, Huella digital, Informatique diffuse, Pervasive computing, Informática difusa, Informatique mobile, Mobile computing, Locomotion avec jambes, Legged locomotion, Marche à pied, Walking, Caminata, Mot de passe, Password, Contraseña, Posture, Postura, Reconnaissance parole, Speech recognition, Reconocimiento voz, Système réparti, Distributed system, Sistema repartido, Sécurité informatique, Computer security, Seguridad informatica, Valeur critique, Critical value, Valor crítico, Vie privée, Private life, Vida privada
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Technical Research Centre of Finland, Kaitoväylä 1, Oulu, Finland
ISSN:
0302-9743
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=19150941
Rights:
Copyright 2007 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.19150941
Database:
PASCAL Archive

Further Information

The need for authenticating users of ubiquitous mobile devices is becoming ever more critical with the increasing value of information stored in the devices and of services accessed via them. Passwords and conventional biometrics such as fingerprint recognition offer fairly reliable solutions to this problem, but these methods require explicit user authentication and are used mainly when a mobile device is being switched on. Furthermore, conventional biometrics are sometimes perceived as privacy threats. This paper presents an unobtrusive method of user authentication for mobile devices in the form of recognition of the walking style (gait) and voice of the user while carrying and using the device. While speaker recognition in noisy conditions performs poorly, combined speaker and accelerometer-based gait recognition performs significantly better. In tentative tests with 31 users the Equal Error Rate varied between 2% and 12% depending on noise conditions, typically less than half of the Equal Error Rates of individual modalities.