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
@article{arxiv.2101.11435,
title = {Online LDA based brain-computer interface system to aid disabled people},
author = {Apdullah Yayik and Yakup Kutlu},
journal= {arXiv preprint arXiv:2101.11435},
year = {2021}
}
Comments
13 pages, 4 figures, Natural and Engineering Sciences