A feedback training system using cognitive brain-computer interface

Kyuwan Choi, Insoo Kim, Byoung-Kyong Min

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Electroencephalography (EEG) has become a popular tool in brain-computer interface (BCI) research. Some of the drawbacks pertain to the offline analyses of the neural signal that prevent the subjects from engaging in real-time error correction during learning. Other limitations include the complex nature of the visual stimuli, often inducing fatigue and introducing considerable delays, possibly interfering with spontaneous performance. By replacing the complex external visual input with internally driven motor imagery we can overcome some delay problems, at the expense of losing the ability to precisely parameterize features of the input stimulus. To address these issues we here introduce a direction-imagery task to BCI. We observed that all participants showed almost perfect performance in the fourth session. Participants reported that as they mastered the mental control with direct thinking of direction. These observations provide corroborative evidence for practicability of prefrontal signals to be used as promising cognitive BCI commands.

Original languageEnglish
Title of host publication3rd International Winter Conference on Brain-Computer Interface, BCI 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781479974948
DOIs
Publication statusPublished - 2015 Mar 30
Event2015 3rd International Winter Conference on Brain-Computer Interface, BCI 2015 - Gangwon-Do, Korea, Republic of
Duration: 2015 Jan 122015 Jan 14

Other

Other2015 3rd International Winter Conference on Brain-Computer Interface, BCI 2015
CountryKorea, Republic of
CityGangwon-Do
Period15/1/1215/1/14

Fingerprint

Cognitive systems
Brain-Computer Interfaces
Brain computer interface
Imagery (Psychotherapy)
Feedback
Aptitude
Error correction
Electroencephalography
Fatigue
Learning
Fatigue of materials
Research
Direction compound

Keywords

  • Brain plasticity
  • Direction imagery
  • EEG
  • Neurofeedback training

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Cognitive Neuroscience
  • Sensory Systems

Cite this

Choi, K., Kim, I., & Min, B-K. (2015). A feedback training system using cognitive brain-computer interface. In 3rd International Winter Conference on Brain-Computer Interface, BCI 2015 [7073051] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IWW-BCI.2015.7073051

A feedback training system using cognitive brain-computer interface. / Choi, Kyuwan; Kim, Insoo; Min, Byoung-Kyong.

3rd International Winter Conference on Brain-Computer Interface, BCI 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 7073051.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Choi, K, Kim, I & Min, B-K 2015, A feedback training system using cognitive brain-computer interface. in 3rd International Winter Conference on Brain-Computer Interface, BCI 2015., 7073051, Institute of Electrical and Electronics Engineers Inc., 2015 3rd International Winter Conference on Brain-Computer Interface, BCI 2015, Gangwon-Do, Korea, Republic of, 15/1/12. https://doi.org/10.1109/IWW-BCI.2015.7073051
Choi K, Kim I, Min B-K. A feedback training system using cognitive brain-computer interface. In 3rd International Winter Conference on Brain-Computer Interface, BCI 2015. Institute of Electrical and Electronics Engineers Inc. 2015. 7073051 https://doi.org/10.1109/IWW-BCI.2015.7073051
Choi, Kyuwan ; Kim, Insoo ; Min, Byoung-Kyong. / A feedback training system using cognitive brain-computer interface. 3rd International Winter Conference on Brain-Computer Interface, BCI 2015. Institute of Electrical and Electronics Engineers Inc., 2015.
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