Towards Utilization of Error-Related Potentials for Brain-to-Vehicle Communication

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Brain-computer interfaces (BCIs) rely on accurate classification of a user's intent in order to perform the correct actions. However, when used in reality, devices controlled by BCIs may often react differently from what the user intended due to noise and other factors resulting in misclassification. In such cases, error-related potentials (ErrPs) may be evoked and can be captured from the user's neural signals. Detection of these ErrPs can then be used to recognize and correct erroneous responses. In this research, we have created a graphical application in which the user drives a virtual car from a first-person perspective. Results of our experiments show that ErrPs can be captured from the user when the car moves differently from how the user intended to drive.
Publisher
IEEE
Issue Date
2019-02
Language
English
Citation

7th International Winter Conference on Brain-Computer Interface (BCI), pp.226 - 231

ISSN
2572-7680
DOI
10.1109/IWW-BCI.2019.8737336
URI
http://hdl.handle.net/10203/274963
Appears in Collection
CS-Conference Papers(학술회의논문)
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