  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
