Tactile pressure brain-computer interface using point matrix pattern paradigm

Kensuke Shimizu, Hiromu Mori, Shoji Makino, Tomasz M. Rutkowski

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

8 Citations (Scopus)

Abstract

The paper presents a tactile pressure stimulus-based brain-computer interface (BCI) paradigm. 3×3 pressure pins matrix stimulus patterns are presented to the subjects in an oddball paradigm allowing for 'aha-responses' generation to attended targets. A research hypothesis is confirmed with the results with five subjects performing online BCI experiments. One of the users could score with 100% accuracy in online ten averages based BCI test. Three users scored above chance levels, while one remained on the chance level border. The presented pilot study experiments and EEG results confirm the effectiveness of the proposed tactile pressure stimulus based BCI.

Original languageEnglish
Title of host publication2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages473-477
Number of pages5
ISBN (Electronic)9781479959556
DOIs
Publication statusPublished - 2014 Feb 18
Externally publishedYes
Event2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014 - Kitakyushu, Japan
Duration: 2014 Dec 32014 Dec 6

Publication series

Name2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014

Other

Other2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014
Country/TerritoryJapan
CityKitakyushu
Period14/12/314/12/6

Keywords

  • BCI
  • brain signal processing
  • EEG
  • P300
  • tactile BCI

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence

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