EEG signal processing and classification for the novel tactile-force brain-computer interface paradigm

Shota Kono, Daiki Aminaka, Shoji Makino, Tomasz M. Rutkowski

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

The presented study explores the extent to which tactile-force stimulus delivered to a hand holding a force-feedback joystick can serve as a platform for a brain-computer interface (BCI). The four pressure directions are used to evoke tactile brain potential responses, thus defining a tactile-force brain computer interface (tfBCI). We present brain signal processing and classification procedures leading to successful online interfacing results. Experimental results with seven subjects performing online BCI experiments provide a validation of the hand location tfBCI paradigm, while the feasibility of the concept is illuminated through remarkable information-transfer rates.

Original languageEnglish
Title of host publicationProceedings - 2013 International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2013
Pages812-817
Number of pages6
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 9th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2013 - Kyoto, Japan
Duration: 2013 Dec 22013 Dec 5

Publication series

NameProceedings - 2013 International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2013

Conference

Conference2013 9th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2013
CountryJapan
CityKyoto
Period13/12/213/12/5

Keywords

  • Brain signal processing
  • Brain somatosensory evoked response
  • EEG
  • Tactile BCI

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing

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