View source for 2017 : EEG-Based Biometrics: Challenges and Applications

{{Event 
|isA=CFP
|Acronym= EEG 2017 
|Title=:   2017 : EEG-Based Biometrics: Challenges and Applications 
|Type=Conference 
|Field=security
|Start date=Invalid date
|End date=2017/07/28T01:34:15 
|City=N/A 
|Country=undefined
|Homepage=https://www.hindawi.com/journals/cin/si/176874/cfp/
|Submission deadline=2017/10/27T12:00:00
}}
Special Issue on EEG-Based Biometrics: Challenges and Applications
(Computational Intelligence and Neuroscience, IF=1.215 (Clarivate Analytics Web
of Science))

Scope

Biometrics is aimed at recognizing individuals based on physical, physiological,
or behavioural characteristics of a human body such as fingerprint, gait, voice,
iris, and gaze. Currently, the state-of-the art methods for biometric
authentication are being incorporated in various access control and personal
identity management applications. While the hand-based biometrics (including
fingerprint) have been the most often used technology so far, there is growing
evidence that electroencephalogram (EEG) signals collected during a perception
or mental task can be used for reliable person recognition. However, the domain
of EEG-based biometry still faces the problems of improving the accuracy,
robustness, security, privacy, and ergonomics of EEG-based biometric systems and
substantial efforts are needed towards developing efficient sets of stimuli
(visual or auditory) that can be used of person identification in Brain-Computer
Interface (BCI) systems and applications.

There are still many challenging problems involved in improving the accuracy,
efficiency, and usability of EEG-based biometric systems and problems related to
designing, developing, and deploying new security-related BCI applications, for
example, for personal authentication on mobile devices, VR (Virtual Reality)
headsets, and Internet.

This special issue aims to introduce the recent progress of EEG-based biometrics
and addresses the challenges in developing EEG-based biometry systems for
various practical applications, while proposing new ideas and directions for
future development.

Potential topics include but are not limited to the following:

EEG biometry
Data preprocessing, feature extraction, recognition, and matching for EEG-based
biometric systems
Signal processing and machine learning techniques for EEG-based biometrics
EEG biometric based passwords and encryption
Cancellable EEG biometrics
Multimodal (EEG, EMG, ECG, and other biosignals) biometrics
Pattern recognition for biometrics
Performance and accuracy evaluation of EEG-based biometric systems
Protocols, standards, and interfaces for EEG biometrics
Security and privacy of biometric EEG data
Information fusion for biometrics involving EEG data
EEG biometrics for VR applications
Stimuli sets for EEG-based biometrics
Passive BCI technology

Submission

Authors can submit their manuscripts through the Manuscript Tracking System at
https://mts.hindawi.com/submit/journals/cin/eebb/.

Important Dates

Submission Deadline Friday, 27 October 2017
Publication Date March 2018
Papers are published upon acceptance, regardless of the Special Issue
publication date.

Lead Guest Editor

Victor Hugo C. De Albuquerque, Universidade de Fortaleza, Fortaleza, Brazil

Guest Editors

Robertas Damaševičius, Kaunas University of Technology, Kaunas, Lithuania
João M. R. S. Tavares, University of Porto, Porto, Portugal
Plácido R. Pinheiro, University of Fortaleza, Fortaleza, Brazil
Acronym	EEG 2017 +
End date	01:34:15, 28 July 2017 +
Event type	Conference +
Has coordinates	9° 6' 7", 76° 36' 21"Latitude: 9.1019277777778 Longitude: 76.605963888889 +
Has location city	N/A +
Has location country	Category:Undefined +
Homepage	https://www.hindawi.com/journals/cin/si/176874/cfp/ +
IsA	CFP +
Submission deadline	12:00:00, 27 October 2017 +
Title	2017 : EEG-Based Biometrics: Challenges and Applications +