Literature DB >> 22831906

Introducing the tactile speller: an ERP-based brain-computer interface for communication.

Marjolein van der Waal1, Marianne Severens, Jeroen Geuze, Peter Desain.   

Abstract

In this study, a tactile speller was developed and compared with existing visual speller paradigms in terms of classification performance and elicited event-related potentials (ERPs). The fingertips of healthy participants were stimulated with short mechanical taps while electroencephalographic activity was measured. The letters of the alphabet were allocated to different fingers and subjects could select one of the fingers by silently counting the number of taps on that finger. The offline and online performance of the tactile speller was compared to the overt and covert attention visual matrix speller and the covert attention Hex-o-Spell speller. For the tactile speller, binary target versus non-target classification accuracy was 67% on average. Classification and decoding accuracies of the tactile speller were lower than the overt matrix speller, but higher than the covert matrix speller, and similar to Hex-o-Spell. The average maximum information transfer rate of the tactile speller was 7.8 bits min(-1) (1.51 char min(-1)), with the best subject reaching a bit-rate of 27 bits min(-1) (5.22 char min(-1)). An increased amplitude of the P300 ERP component was found in response to attended stimuli versus unattended stimuli in all speller types. In addition, the tactile and overt matrix spellers also used the N2 component for discriminating between targets and non-targets. Overall, this study shows that it is possible to use a tactile speller for communication. The tactile speller provides a useful alternative to the visual speller, especially for people whose eye gaze is impaired.

Entities:  

Mesh:

Year:  2012        PMID: 22831906     DOI: 10.1088/1741-2560/9/4/045002

Source DB:  PubMed          Journal:  J Neural Eng        ISSN: 1741-2552            Impact factor:   5.379


  27 in total

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4.  Comparison of tactile, auditory, and visual modality for brain-computer interface use: a case study with a patient in the locked-in state.

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Journal:  Front Neurosci       Date:  2013-07-24       Impact factor: 4.677

5.  Decoding of single-trial auditory mismatch responses for online perceptual monitoring and neurofeedback.

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Journal:  Front Neurosci       Date:  2013-12-30       Impact factor: 4.677

6.  Exploring combinations of auditory and visual stimuli for gaze-independent brain-computer interfaces.

Authors:  Xingwei An; Johannes Höhne; Dong Ming; Benjamin Blankertz
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7.  Detecting semantic priming at the single-trial level.

Authors:  Jeroen Geuze; Marcel A J van Gerven; Jason Farquhar; Peter Desain
Journal:  PLoS One       Date:  2013-04-02       Impact factor: 3.240

8.  Decoding speech perception by native and non-native speakers using single-trial electrophysiological data.

Authors:  Alex Brandmeyer; Jason D R Farquhar; James M McQueen; Peter W M Desain
Journal:  PLoS One       Date:  2013-07-11       Impact factor: 3.240

9.  Towards a communication brain computer interface based on semantic relations.

Authors:  Jeroen Geuze; Jason Farquhar; Peter Desain
Journal:  PLoS One       Date:  2014-02-07       Impact factor: 3.240

10.  Towards user-friendly spelling with an auditory brain-computer interface: the CharStreamer paradigm.

Authors:  Johannes Höhne; Michael Tangermann
Journal:  PLoS One       Date:  2014-06-02       Impact factor: 3.240

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