Motor-Imagery-Based Brain–Computer Interface Using Signal Derivation and Aggregation Functions
Motor-Imagery-Based Brain–Computer Interface Using Signal Derivation and Aggregation Functions
Brain-computer interface (BCI) technologies are popular methods of communication between the human brain and external devices. One of the most popular approaches to BCI is motor imagery (MI). In BCI applications, the electroencephalography (EEG) is a very popular measurement for brain dynamics because of its noninvasive nature. Although there is …