Literature DB >> 28863361

Evaluating brain-computer interface performance using color in the P300 checkerboard speller.

D B Ryan1, G Townsend2, N A Gates3, K Colwell4, E W Sellers3.   

Abstract

OBJECTIVE: Current Brain-Computer Interface (BCI) systems typically flash an array of items from grey to white (GW). The objective of this study was to evaluate BCI performance using uniquely colored stimuli.
METHODS: In addition to the GW stimuli, the current study tested two types of color stimuli (grey to color [GC] and color intensification [CI]). The main hypotheses were that in a checkboard paradigm, unique color stimuli will: (1) increase BCI performance over the standard GW paradigm; (2) elicit larger event-related potentials (ERPs); and, (3) improve offline performance with an electrode selection algorithm (i.e., Jumpwise).
RESULTS: Online results (n=36) showed that GC provides higher accuracy and information transfer rate than the CI and GW conditions. Waveform analysis showed that GC produced higher amplitude ERPs than CI and GW. Information transfer rate was improved by the Jumpwise-selected channel locations in all conditions.
CONCLUSIONS: Unique color stimuli (GC) improved BCI performance and enhanced ERPs. Jumpwise-selected electrode locations improved offline performance. SIGNIFICANCE: These results show that in a checkerboard paradigm, unique color stimuli increase BCI performance, are preferred by participants, and are important to the design of end-user applications; thus, could lead to an increase in end-user performance and acceptance of BCI technology.
Copyright © 2017 International Federation of Clinical Neurophysiology. All rights reserved.

Entities:  

Keywords:  Assistive devices; Brain-computer interface; Color processing; EEG; P300 event-related potential

Mesh:

Year:  2017        PMID: 28863361      PMCID: PMC5657600          DOI: 10.1016/j.clinph.2017.07.397

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  23 in total

1.  Predictive spelling with a P300-based brain-computer interface: Increasing the rate of communication.

Authors:  D B Ryan; G E Frye; G Townsend; D R Berry; S Mesa-G; N A Gates; E W Sellers
Journal:  Int J Hum Comput Interact       Date:  2011-01-01       Impact factor: 3.353

2.  The Wadsworth Center brain-computer interface (BCI) research and development program.

Authors:  Jonathan R Wolpaw; Dennis J McFarland; Theresa M Vaughan; Gerwin Schalk
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2003-06       Impact factor: 3.802

3.  BCI Competition 2003--Data set IIb: support vector machines for the P300 speller paradigm.

Authors:  Matthias Kaper; Peter Meinicke; Ulf Grossekathoefer; Thomas Lingner; Helge Ritter
Journal:  IEEE Trans Biomed Eng       Date:  2004-06       Impact factor: 4.538

4.  A direct demonstration of functional specialization in human visual cortex.

Authors:  S Zeki; J D Watson; C J Lueck; K J Friston; C Kennard; R S Frackowiak
Journal:  J Neurosci       Date:  1991-03       Impact factor: 6.167

Review 5.  Updating P300: an integrative theory of P3a and P3b.

Authors:  John Polich
Journal:  Clin Neurophysiol       Date:  2007-06-18       Impact factor: 3.708

6.  Habituation reveals fundamental chromatic mechanisms in striate cortex of macaque.

Authors:  Chris Tailby; Samuel G Solomon; Neel T Dhruv; Peter Lennie
Journal:  J Neurosci       Date:  2008-01-30       Impact factor: 6.167

7.  Spatio-temporal dynamics of attention to color: evidence from human electrophysiology.

Authors:  L Anllo-Vento; S J Luck; S A Hillyard
Journal:  Hum Brain Mapp       Date:  1998       Impact factor: 5.038

8.  Flashing characters with famous faces improves ERP-based brain-computer interface performance.

Authors:  T Kaufmann; S M Schulz; C Grünzinger; A Kübler
Journal:  J Neural Eng       Date:  2011-09-20       Impact factor: 5.379

9.  Mapping of functional organization in human visual cortex: electrical cortical stimulation.

Authors:  H W Lee; S B Hong; D W Seo; W S Tae; S C Hong
Journal:  Neurology       Date:  2000-02-22       Impact factor: 9.910

10.  The user-centered design as novel perspective for evaluating the usability of BCI-controlled applications.

Authors:  Andrea Kübler; Elisa M Holz; Angela Riccio; Claudia Zickler; Tobias Kaufmann; Sonja C Kleih; Pit Staiger-Sälzer; Lorenzo Desideri; Evert-Jan Hoogerwerf; Donatella Mattia
Journal:  PLoS One       Date:  2014-12-03       Impact factor: 3.240

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  1 in total

1.  Spatial and Time Domain Feature of ERP Speller System Extracted via Convolutional Neural Network.

Authors:  Jaehong Yoon; Jungnyun Lee; Mincheol Whang
Journal:  Comput Intell Neurosci       Date:  2018-05-15
  1 in total

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