Online LDA based brain-computer interface system to aid disabled people
Journal Title: Natural and Engineering Sciences - Year 2017, Vol 2, Issue 2
Abstract
This paper aims to develop brain-computer interface system based on electroencephalography that can aid disabled people in daily life. The system relies on one of the most effective event-related potential wave, P300, which can be elicited by oddball paradigm. Developed application has a basic interaction tool that enables disabled people to convey their needs to other people selecting related objects. These objects pseudo-randomly flash in a visual interface on computer screen. The user must focus on related object to convey desired needs. The system can convey desired needs correctly by detecting P300 wave in acquired 14-channel EEG signal and classifying using linear discriminant analysis classifier just in 15 seconds. Experiments have been carried out on 19 volunteers to validate developed BCI system. As a result, accuracy rate of 90.83% is achieved in online performance.
Authors and Affiliations
Yakup Kutlu, Abdullah Yayık
Keywords
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- EP ID EP307662
- DOI 10.28978/nesciences.328908
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