Implementation of genetic algorithms to feature selection for the use of brain-computer interface
Marcin Kołodziej , Andrzej Majkowski , Remigiusz Rak
The main goal of the article is to apply genetic algorithms to feature selection for the use of brain-computer interface (BCI). FFT coefficients of EEG signal were used as features. The best features for a BCI system depends on the person who uses the system as well as on the mental state of the person. Therefore, it is very important to apply efficient methods of feature selection. The genetic algorithm proposed by authors enables to choose the most representative features and electrodes.
|Journal series||Przegląd Elektrotechniczny, ISSN 0033-2097, (A 15 pkt)|
|Publication size in sheets||0.3|
|Publication indicators||= 7; = 3; = 8.0; : 2011 = 0.531; : 2011 = 0.244 (2)|
|Citation count*||8 (2020-01-25)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.