Steady-state visual evoked potentials and their application to brain-computer interfaces

BCI, EEG, SSVEP

Norton, James J. S.

关键词: BCI, EEG, SSVEP;   

Others  :  https://www.ideals.illinois.edu/bitstream/handle/2142/99213/NORTON-DISSERTATION-2017.pdf?sequence=1&isAllowed=y

美国|英语

来源: The Illinois Digital Environment for Access to Learning and Scholarship

【 摘 要 】

This dissertation presents five contributions to the design of steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs). First, a new method—based on visual stimulation during sleep—for investigating the neural mechanisms of SSVEPs. Second, a comparison of performance—in terms of accuracy, latency, bitrate, and engagement—between children and adults when using an SSVEP-based BCI. Third, a gel-less epidermal electronic system electrode for use in SSVEP-based BCIs that adheres to the skin through van der Waals forces. Fourth, a potential application for SSVEP-based BCIs in individuals without disabilities. Fifth, an adaptive user interface for SSVEP-based BCI text-entry that nearly doubles the performance of existing systems. Following the description of these contributions, potential directions for future research are also discussed. These contributions each move a step towards the long-term goal of developing SSVEP-based BCIs that are useful outside of the research laboratory for either those with or without disabilities.