Using brain signals patterns for biometric identity verification systems

Authors:
Ghada Al-Hudhud;Mai Abdulaziz Alzamel;Eman Alattas;Areej Alwabil
Affiliations:
Information Technology Department, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia;Computer Science Department, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia;Information Technology Department, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia;Software Engineering Department, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia
Venue:
Computers in Human Behavior
Year:
2014

Citing 3
Cited 0

Multimodal Biometric Authentication Using Quality Signals in Mobile Communications

ICIAP '03 Proceedings of the 12th International Conference on Image Analysis and Processing
Study of Different Fusion Techniques for Multimodal Biometric Authentication

WIMOB '08 Proceedings of the 2008 IEEE International Conference on Wireless & Mobile Computing, Networking & Communication
An introduction to biometric recognition

IEEE Transactions on Circuits and Systems for Video Technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

In the natural human computer interaction filed, researchers started to consider the other interaction modalities for diversity of applications. Among these modalities are the speech interaction systems, eye gaze interaction systems and recently Brain Computer Interfacing (BCI) systems. In BCI systems, the tools are deployed to manipulate the brain activity to produce signals that can be used to control computers or communication devices. Implementing this technology in real life varies from: entertainment systems to control layers through the user thoughts, to disability assistive devices to reduce care given. Currently the BCI technologies are developed for the purposes of boosting the disability assistive devices especially in the command controlled systems. In addition, the currently demanding research emphasis is to use brain signals for personal identifications and verification; known as biometric verification. Biometric verification was first used in as an authentication technique for systems operating devices in real environment. At that time, authentication was based on unimodal biometric identity verification systems, which compare only one trait or biometrical feature (such as voice, iris, or fingerprint) to a previous sample. However, the performance of such modals varies depending on the presence of outside factors such as background noises in a speech recognition system, or the illumination problems for a face recognition system. Another cause of pitfalls in these models is their dependency on the health of the authenticated user. In order to overcome the weaknesses of the unimodal biometric system, a multimodal biometric system was introduced.