Neural Decoding of Imagined Speech and Visual Imagery as Intuitive Paradigms for BCI Communication

• Published in: IEEE transactions on neural systems and rehabilitation engineering Vol. 28; no. 12; pp. 2647 - 2659
• Main Authors: Lee, Seo-Hyun, Lee, Minji, Lee, Seong-Whan
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.12.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: BCI inefficiency; Brain; Brain-computer interface; Classification; Communication; Communications systems; Computer applications; Confidence intervals; Cortex (auditory); Decoding; EEG; Electrodes; Electroencephalography; Frequencies; Frequency ranges; Human-computer interface; Image classification; imagined speech; Implants; intuitive BCI; Mental task performance; Neural coding; Performance evaluation; Speech; Support vector machines; Syllables; System effectiveness; Training; visual imagery; Visual system; Visualization

Brain-computer interface (BCI) is oriented toward intuitive systems that users can easily operate. Imagined speech and visual imagery are emerging paradigms that can directly convey a user's intention. We investigated the underlying characteristics that affect the decoding performance of these...