2020
DOI: 10.48550/arxiv.2008.07660
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Revisiting the Application of Feature Selection Methods to Speech Imagery BCI Datasets

Javad Rahimipour Anaraki,
Jae Moon,
Tom Chau

Abstract: Brain-computer interface (BCI) aims to establish and improve human and computer interactions. There has been an increasing interest in designing new hardware devices to facilitate the collection of brain signals through various technologies, such as wet and dry electroencephalogram (EEG) and functional near-infrared spectroscopy (fNIRS) devices. The promising results of machine learning methods have attracted researchers to apply these methods to their data. However, some methods can be overlooked simply due t… Show more

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