Feature extraction and analysis of overt and covert EEG signals with speller devices Online publication date: Tue, 28-Nov-2023
by Mridu Sahu; Saumya Vishwal; S. Usha Srivalli; Sneha Shukla; Sanjivani Shantaiya
International Journal of Advanced Intelligence Paradigms (IJAIP), Vol. 26, No. 2, 2023
Abstract: Brain computer interfaces (BCIs) are used by motor neuron disease patients for communication. The brain electroencephalogram signals, detected and recorded by BCI devices are used for analysis. The P300 component of event related potentials ERP used for the detection of attention towards a character is a popular approach. The first most successful speller device was proposed by Farewell and Donchin, named P300 speller. The device consists of 6 × 6 matrix of alpha-numeric with rows and columns randomly intensified, in order to generate a stimulus in the users' brain for efficient use of BCI. In the presented work, overt and covert attention are recognised. Overt attention is being looked at with eye movement and covert attention is not associated with eye movement. Geometric speller has been used in this study; a comparative study of GeoSpeller and P300 speller is showed in covert and overt attention for analysis of both the methods and their usability.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Advanced Intelligence Paradigms (IJAIP):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook