How many people are able to control a P300-based brain-computer interface (BCI)?

By Christoph Guger, Shahab Daban, Eric W. Sellers, C. Holzner, G. Krausz, R. Carabalona, F. Gramatica, G. Edlinger. Neuroscience Letters, 2009

689 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/ef2bf45c76cf32872c85fc808257aea5d4c00b61

How researchers see this paper

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

In Cellular and Molecular Neuroscience

1. Benjamin Blankertz
2. Brendan Z. Allison
3. Gert Pfurtscheller
4. K. Müller
5. Jonathan R. Wolpaw
6. Christa Neuper
7. Eric W. Sellers
8. Gabriel Curio

In Cognitive Neuroscience

1. Benjamin Blankertz
2. K. Müller
3. Brendan Z. Allison
4. Gert Pfurtscheller
5. Jonathan R. Wolpaw
6. Fabien Lotte
7. Christa Neuper
8. Eric W. Sellers

In Human-Computer Interaction

1. Brendan Z. Allison
2. Jonathan R. Wolpaw
3. Benjamin Blankertz
4. Eric W. Sellers
5. Andrea Kübler
6. Dean J. Krusienski
7. Gert Pfurtscheller
8. Theresa M. Vaughan

Citations in the corpus

• A novel P300-based brain-computer interface stimulus presentation paradigm: moving beyond rows and columns (2010, methodology): “With either paradigm, the P300-based BCI could be calibrated in approximately 10 min, similar to the results reported by Guger et al. (2009).”
• The Berlin Brain–Computer Interface: Non-Medical Uses of BCI Technology (2010, background): “For results on large-scale studies and performance-related demographics, see Allison et al. (2009) for an SSVEP-and Guger et al. (2009) for a P300-based system.”
• P300 brain computer interface: current challenges and emerging trends (2012, methodology): “Guger et al. (Guger et al., 2009) compared the SC and RC speller in a study where five characters were spelled.”
• Flashing characters with famous faces improves ERP-based brain–computer interface performance (2011, background): “Although healthy participants produce highly accurate results with the P300-Speller (Guger et al 2009, Kleih et al 2010), accuracy is still an issue in patients, because P300 amplitudes are typically lower than in healthy controls (Hanagasi et al 2002).”
• Brain-Computer Interfaces: A Gentle Introduction (2009, background): “Furthermore, a minority of subjects exhibit little or no control [11, 26, 31, ].”
• Could Anyone Use a BCI? (2010, background): “but by reducing the number of flashes required to identify each target character (Guger et al. 2009; Jing et al. 2010).”
• Toward a hybrid brain–computer interface based on imagined movement and visual attention (2010, background): “Demographic information might help identify the best BCI approach and parameters for each user [57, 58].”
• BCI Demographics: How Many (and What Kinds of) People Can Use an SSVEP BCI? (2010, background): “[21] did not mention elderly subjects, who we found were more annoyed by flickering lights.”
• A Hybrid BCI System Combining P300 and SSVEP and Its Application to Wheelchair Control (2013, methodology): “As previously described [33], [34], the EEG signals used for analysis”