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Full-Text Articles in Speech and Hearing Science
Examining Sensory Ability, Feature Matching And Assessment-Based Adaptation For A Brain–Computer Interface Using The Steady-State Visually Evoked Potential, Jonathan S. Brumberg, Anh Nguyen, Kevin M. Pitt, Sean D. Lorenz
Examining Sensory Ability, Feature Matching And Assessment-Based Adaptation For A Brain–Computer Interface Using The Steady-State Visually Evoked Potential, Jonathan S. Brumberg, Anh Nguyen, Kevin M. Pitt, Sean D. Lorenz
Department of Special Education and Communication Disorders: Faculty Publications
Purpose: We investigated how overt visual attention and oculomotor control influence successful use of a visual feedback brain-computer interface (BCI) for accessing augmentative and alternative communication (AAC) devices in a heterogeneous population of individuals with profound neuromotor impairments. BCIs are often tested within a single patient population limiting generalization of results. This study focuses on examining individual sensory abilities with an eye toward possible interface adaptations to improve device performance.
Methods: Five individuals with a range of neuromotor disorders participated in four-choice BCI control task involving the steady state visually evoked potential. The BCI graphical interface was designed to simulate …