Utilization of Genetic Algorithm for Optimal EEG Channel Selection in Brain-Computer Interface Application

@article{Hasan2014UtilizationOG,
  title={Utilization of Genetic Algorithm for Optimal EEG Channel Selection in Brain-Computer Interface Application},
  author={Intan Helina Hasan and Abd. Rahman Ramli and Siti Anom Ahmad},
  journal={2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology},
  year={2014},
  pages={97-102}
}
Brain-Computer Interface (BCI) research has provoked an enormous interest among researchers from different fields since it is an important element in assistive technology. The most popular approach is a non-invasive method, using Electroencephalogram (EEG) analysis which acquires signals from 32 to 64 electrodes' recordings and translate them to a movement using various computing algorithm which can be used in wheelchair navigation, or control robot movements. However, it will be time consuming… CONTINUE READING

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