Data Analytics in Steady-State Visual Evoked Potential-Based Brain–Computer Interface: A Review

Brain-CAVE Interface Based on Steady-State Visual Evoked Potential

Recently, a new modality of the human-computer interface has been more and more emerging; The Brain-Computer Interface (BCI). The BCI is a communication channel, which enables us to send commands to external devices by using human brain activities (Wolpaw et al., 2002). As one of the remarkable achievements, we can see the report on invasive Brain-Machine Interface (BMI) (Hochberg et al., 2006)...

Generative Steady-State Visual Evoked Potential Models

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Steady State Visual Evoked Potential Based Computer Gaming - The Maze

We introduce a game, called “The Maze”, as a brain-computer interface (BCI) application in which an avatar is navigated through amaze by analyzing the player’s steady-state visual evoked potential (SSVEP) responses recorded with electroencephalography (EEG). The same computer screen is used for displaying the game environment and for the visual stimulation. The algorithms for EEG data processin...

Steady state visual evoked potential (SSVEP) based brain-computer interface (BCI) performance under different perturbations

Brain-computer interface (BCI) paradigms are usually tested when environmental and biological artifacts are intentionally avoided. In this study, we deliberately introduced different perturbations in order to test the robustness of a steady state visual evoked potential (SSVEP) based BCI. Specifically we investigated to what extent a drop in performance is related to the degraded quality of EEG...

Artifacts Removal and Feature Extraction Scheme for Steady State Visual Evoked Potential Based Brain Computer Interface