An Approach to eye-brain-computer interface development

Existing brain-computer interface (BCI) technologies used to improve the quality of life or rehabilitation of patients with motor disorders have a number of drawbacks, such as recorded signal instability during long-term use due to habituation, as well as relatively low information transfer rate. A...

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Bibliographic Details
Main Authors: Kondaurov, Leonid R., Baykova, Ekaterina A., Dmitriev, Alexander N., Boeva, Elizaveta S., Romanova, Ekaterina A., Haddad, Nekoula
Format: Conference Proceeding
Language:English
Subjects:
brain-computer interface
Brain-computer interfaces
Electroencephalography
evoked potential P300
eye tracker
habituation
Power engineering
Prototypes
Shape
synchronization
Synchronous motors
Tracking
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Summary:Existing brain-computer interface (BCI) technologies used to improve the quality of life or rehabilitation of patients with motor disorders have a number of drawbacks, such as recorded signal instability during long-term use due to habituation, as well as relatively low information transfer rate. A possible alternative is the use of hybrid BCIs, particularly those based on an eyetracker. However, their widespread distribution for home use application limits the cost of such a complex. This paper describes an approach to developing an eye-brain-computer interface prototype. To test the developed prototype of eye-brain-computer interface (EBCI) complex an experimental study was performed involving 3 healthy subjects with synchronous EEG and an eyetracker signal recording. Stimulus frequency and target stimulus coordinates were varied. Evoked potential P300 parameters and eyetracker spatial errors during fixations on the monitor's reference points, as well as EEG and eyetracker synchronization accuracy were evaluated. As a result, P300 of typical shape was identified in 3 subjects. It was concluded that it is possible to use EBCI and further modify the synchronization algorithm.
ISSN:2831-7262
DOI:10.1109/REEPE57272.2023.10086838