Toward FRP-Based Brain-Machine Interfaces-Single-Trial Classification of Fixation-Related Potentials

Area of Science:

• Neuroscience
• Cognitive Science
• Human-Computer Interaction

Background:

• Co-registration of eye tracking and electroencephalography (EEG) offers holistic cognitive process measurement.
• Fixation-related potentials (FRPs) quantify neural activity time-locked to fixation onsets.
• Existing EEG brain-machine interfaces often rely on restricted stimuli and movements.

Purpose of the Study:

• To investigate fixation-related potentials (FRPs) in more naturalistic, unconstrained visual search tasks.
• To develop and validate a classification method for FRPs in complex visual environments.
• To assess the potential of FRPs for novel EEG-based brain-machine interfaces.

Main Methods:

• Simultaneous recording of EEG and eye movements during a gaze-contingent visual search task.
• Participants searched for a target among complex, everyday objects under less restricted conditions.
• Development of a classification method for FRPs based on fixation locations (relevant, non-relevant, background).

Main Results:

• The proposed FRP classification method successfully discriminated between fixations on relevant, non-relevant, and background areas.
• Classification performance generalized across different test sets for the same participant.
• The classification approach demonstrated cross-participant generalization.

Conclusions:

• Fixation-related potentials can be effectively classified in ecologically valid visual search tasks.
• This advancement supports the development of advanced EEG-based brain-machine interfaces.
• FRPs offer a promising pathway for intuitive human-machine interaction by interpreting direct cortical activity.