International Journal of Cognitive Biometrics
- Editor in Chief
- Dr. Khoa Luu
- ISSN online
- ISSN print
- 4 issues per year
Cognitive biometrics acquires information from users through collection of one or more biosignals. This relies on the presentation of one or more external or imagined stimuli. The subsequent response(s) are acquired and used for verification and authentication. IJCB addresses all aspects of cognitive biometrics, which aims to extract a unique signature from the user based on the cognitive, affective and conative state of the individual, either alone or more typically in various multi-modal combinations involving conventional and soft biometrics.
Topics covered include
- Biosignal recognition deployment for EEG, ECG, EOG, EMG, PPG, etc.
- Event-related audio-visual stimuli design and resulting response component extraction for person ID
- Virtual reality deployment as a means of stimulus presentation
- Subliminal stimulus presentation utilisation in user authentication schemas
- Signal processing (linear and nonlinear) for time-invariant biometric feature extraction
- Novel machine learning algorithms for user-dependent/independent classification
- Genetic basis of biosignals and heritability
- Cognitive neuroscience deployment for biometric authentication purposes
- Multimodal approaches involving biosignals
- conventional: fingerprints, palm prints, retinal scan, iris recognition, voice recognition, keystroke patterns, etc.
- soft biometrics: odour scent, skin colour, eye colour, etc.
- token based methods: personal ID number, passwords, etc.
- Related algorithms, enrolment procedures, systems/devices, security, applications, standardisation for user verification and authentication
ObjectivesThe primary objective of IJCB is to provide a medium through which researchers in all fields relevant to cognitive biometrics can exchange their ideas. Biometrics is ultimately a process that investigates and develops strategies that enable secure access to information. The domain is therefore global, and IJCB emphasises this aspect of biometrics. We encourage the dissemination of data through the use of online data repositories, allowing research groups on a global scale to utilise common datasets. Publicly-available datasets provide the opportunity for researchers to compare their specific approaches, fostering a comparative and collaborative approach to the discipline. In addition, the establishment of an international standard(s) for cognitive biometrics would provide a means for integrating this branch of biometrics within government frameworks, engendering widespread integration into a common global biometric framework. The ultimate goal of academic publications is to provide a medium that informs the community at large on the latest advances within a domain - for us, this domain is cognitive biometrics.
IJCB provides a medium that facilitates the exchange of ideas and latest results among members of academia, industry, and legislative bodies alike. Papers included in IJCB will be relevant to a wide-ranging audience, including members of the engineering, computer science, biometrics, and related fields.
IJCB publishes a wide variety of manuscripts types such as book reviews, major topic reviews, original papers, technical reports, short communications, and news reports. Special Issues devoted to important aspects in cognitive biometrics will be published at periodic intervals.
Editor in Chief
- Luu, Khoa, Carnegie Mellon University, USA
Editorial Board Members
- Alonso Hernández, Jesús B., University of Las Palmas de Gran Canaria, Spain
- Balli, Tugce, Istanbul Kemerburgaz University, Turkey
- Chandran, Vinod, Queensland University of Technology, Australia
- Cho, Sungzoon, Seoul National University, South Korea
- Cota, Navin, Mind Research Network, USA
- Deravi, Farzin, University of Kent, UK
- Gorunescu, Florin, University of Medicine and Pharmacy of Craiova, Romania
- Huang, Huang-Nan, Tunghai University, Taiwan
- Jin, Zhanpeng, Binghamton University - State University of New York, USA
- Majumdar, Kaushik, Indian Statistical Institute, India
- Murugappan, M., Kuwait College of Science and Technology, Kuwait
- Nakanishi, Isao, Tottori University, Japan
- Patnaik, Lalit M., National Institute of Advanced Studies, India
- Salem, Abdel-badeeh M., Ain Shams University, Egypt
- Samraj, Andrews, Mahendra Engineering College, India
- Zhang, Heye, Shenzhen Institute of Advanced Technology, China
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