Towards an independent brain-computer interface using steady state visual evoked potentials.

By Brendan Z. Allison, Dennis J. McFarland, Gerwin Schalk, S. Zheng, Melody Moore Jackson, Jonathan R. Wolpaw. Clinical Neurophysiology, 2008

354 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/2a5fa501b90e106e741c705548b080668ed99703

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

In Human-Computer Interaction

Citations in the corpus

(C)overt attention and visual speller design in an ERP-based brain-computer interface (2010, background): “For instance, for the SSVEP paradigm, it was demonstrated that users can reliably choose between two superimposed dot patterns rotating in opposite directions [61] or between two superimposed gratings [62].”
P300 brain computer interface: current challenges and emerging trends (2012, background): “…can be used for a wide range of different functions and can work with disabled users in home settings (Kübler et al., 2009; Sellers et al., 2010; Kleih et al., 2012), although some concerns about gaze shifting have emerged (Allison et al., 2008; Brunner et al., 2010; Treder and Blankertz, 2010).”
Flaws in current human training protocols for spontaneous Brain-Computer Interfaces: lessons learned from instructional design (2013, methodology): “To the best of our knowledge, correlation between regular video game practice and BCI performance has not been shown yet for BCI based on mental tasks, but has been observed for BCI based on Steady-State Visual Evoked Potentials (SSVEP) (Allison et al., 2008).”
Toward a hybrid brain–computer interface based on imagined movement and visual attention (2010, background): “This outcome is unsurprising as given in the earlier work that assessed ERD [43] and SSVEP activity [11] over many different sites.”
A Survey of Stimulation Methods Used in SSVEP-Based BCIs (2010, neutral): “Two superimposed images consisting of vertical and horizontal parallel bars flickering at different frequencies were presented [62, 70].”
Filter bank canonical correlation analysis for implementing a high-speed SSVEP-based brain–computer interface (2015, methodology): “Last, the proposed FBCCA method can also bene ﬁ t target identi ﬁ cation in the gaze-independent SSVEP BCIs, which are operated by visual selective attention (Kelly et al 2005, Allison et al 2008, Zhang et al 2010).”
Brain-Computer Interfaces: A Gentle Introduction (2009, background): “The most common mental strategies are selective (focused) attention and motor imagery [2, 10–12].”
Clinical Applications of Brain-Computer Interfaces: Current State and Future Prospects (2009, result): “(It should be noted that several recent studies [26]–[28] indicate that some VEP-based BCI systems are not totally dependent on gaze direction, and thus are to a limited degree independent.)”
Steady-state visually evoked potentials: focus on essential paradigms and future perspectives. (2010, background): “The nature and extent of any BCI’s dependence on muscle activity is a function of many factors, including the display, task, environment, and user (Allison et al., 2008).”
Brain Computer Interfaces, a Review (2012, background): “independent SSVEP-based BCIs that are controlled by the attention of the user have been introduced to overcome this drawback [112,113].”
The Berlin Brain–Computer Interface: Non-Medical Uses of BCI Technology (2010, methodology): “While the mainstream of research addressed improvements of paradigms (Hill et al., 2005; Citi et al., 2008; McFarland et al., 2008; Hwang et al., 2009; Williamson et al., 2009; Höhne et al., 2010; Schaefer et al., 2010; Schreuder et al., 2010; Treder and Blankertz, 2010) and data analysis…”
BCI Demographics: How Many (and What Kinds of) People Can Use an SSVEP BCI? (2010, background): “Previous efforts to address this problem have not produced actionable results [12], [14], [36], [37].”