An innovative P300 speller brain–computer interface design: Easy screen. (May 2022)
- Record Type:
- Journal Article
- Title:
- An innovative P300 speller brain–computer interface design: Easy screen. (May 2022)
- Main Title:
- An innovative P300 speller brain–computer interface design: Easy screen
- Authors:
- Bilal Aygün, Abdullah
Reşit Kavsaoğlu, Ahmet - Abstract:
- Highlights: An innovative 7x7 size visual stimulus matrix with alphabetic characters and shortcut characters was designed. Subjects were monitored during 25 runs to generate a classifier model during the offline analysis, which subjects focused on each area of the interface's matrix. In the online study on 30 healthy subjects, an average of 28.37 correct characters out of 30 were identified. After the first detected alphabetic character, one of the 20 words suggested can be directly printed on the screen. Each of the 30 subjects was able to correctly print 10 words directly on the screen. 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 × 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:Highlights: An innovative 7x7 size visual stimulus matrix with alphabetic characters and shortcut characters was designed. Subjects were monitored during 25 runs to generate a classifier model during the offline analysis, which subjects focused on each area of the interface's matrix. In the online study on 30 healthy subjects, an average of 28.37 correct characters out of 30 were identified. After the first detected alphabetic character, one of the 20 words suggested can be directly printed on the screen. Each of the 30 subjects was able to correctly print 10 words directly on the screen. 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 × 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. … (more)
- Is Part Of:
- Biomedical signal processing and control. Volume 75(2022)
- Journal:
- Biomedical signal processing and control
- Issue:
- Volume 75(2022)
- Issue Display:
- Volume 75, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 75
- Issue:
- 2022
- Issue Sort Value:
- 2022-0075-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-05
- Subjects:
- Brain–computer interface -- P300 speller -- Word-typing paradigm -- Visual stimulus -- Event related potential -- Electroencephalogram (EEG)
Signal processing -- Periodicals
Biomedical engineering -- Periodicals
Signal Processing, Computer-Assisted -- Periodicals
Image Processing, Computer-Assisted -- Periodicals
Biomedical Engineering -- Periodicals
610.28 - Journal URLs:
- http://www.sciencedirect.com/science/journal/17468094 ↗
http://www.elsevier.com/journals ↗
http://www.sciencedirect.com/science?_ob=PublicationURL&_tockey=%23TOC%2329675%232006%23999989998%23626449%23FLA%23&_cdi=29675&_pubType=J&_auth=y&_acct=C000045259&_version=1&_urlVersion=0&_userid=836873&md5=664b5cf9a57fc91971a17faf20c32ec1 ↗ - DOI:
- 10.1016/j.bspc.2022.103593 ↗
- Languages:
- English
- ISSNs:
- 1746-8094
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 2087.880400
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 21293.xml