An innovative P300 speller brain-computer interface design: Easy screen
dc.authorid | AYGUN, Abdullah Bilal/0000-0002-0162-4419 | |
dc.contributor.author | Aygun, Abdullah Bilal | |
dc.contributor.author | Kavsaoglu, Ahmet Resit | |
dc.date.accessioned | 2024-09-29T15:55:05Z | |
dc.date.available | 2024-09-29T15:55:05Z | |
dc.date.issued | 2022 | |
dc.department | Karabük Üniversitesi | en_US |
dc.description.abstract | Background: P300 spellers are brain-computer interfaces (BCIs) that display desired characters, once at a time, on a screen through the detection of P300 event-related potentials (ERPs) generated in response to flashing visual stimuli using classification methods to determine desired outcomes. Individual words can also be displayed, rather than the letter-by-letter display typical of P300 spellers. Method: An innovative interface using a 7 x 7 letters visual stimulus matrix was designed, as the Easy Screen P300 Speller. In addition to alphabetic characters, 20 shortcut elements (E1-E20) can be used to display words directly on the screen. After first one or more letters of a desired word are determined, 20 words are formed in the word list. If the selection of a shortcut element is detected, the word corresponding to that element is displayed on the screen. Result and discussion: An innovative P300 speller BCI was tested for 19 men and 11 women. Offline, online, and word typing studies were performed using the designed interface. During online analysis, on average, each subject focused on 28.37 of 30 characters. Each subject was asked to display 10 words pre-selected according to the subjects' wishes using the Easy Screen P300 Speller. The same word could be displayed in an average of 1.31 min using the Easy Screen P300 Speller compared with 4.53 min using a conventional P300 speller. This paper uncovers upper results in terms of character detection accuracy and Output Characters per Minute (OCM) value across word-typing interfaces than state-of-the-art. | en_US |
dc.identifier.doi | 10.1016/j.bspc.2022.103593 | |
dc.identifier.issn | 1746-8094 | |
dc.identifier.issn | 1746-8108 | |
dc.identifier.scopus | 2-s2.0-85125138617 | en_US |
dc.identifier.scopusquality | Q1 | en_US |
dc.identifier.uri | https://doi.org/10.1016/j.bspc.2022.103593 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14619/4447 | |
dc.identifier.volume | 75 | en_US |
dc.identifier.wos | WOS:000820092000004 | en_US |
dc.identifier.wosquality | Q2 | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.language.iso | en | en_US |
dc.publisher | Elsevier Sci Ltd | en_US |
dc.relation.ispartof | Biomedical Signal Processing and Control | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Brain-computer interface | en_US |
dc.subject | P300 speller | en_US |
dc.subject | Word-typing paradigm | en_US |
dc.subject | Visual stimulus | en_US |
dc.subject | Event related potential | en_US |
dc.subject | Electroencephalogram (EEG) | en_US |
dc.title | An innovative P300 speller brain-computer interface design: Easy screen | en_US |
dc.type | Article | en_US |