Bone-Conduction-Based Brain Computer Interface Paradigm -- EEG Signal Processing, Feature Extraction and Classification

The paper presents a novel bone-conduction based brain-computer interface paradigm. Four sub-threshold acoustic frequency stimulus patterns are presented to the subjects in an oddball paradigm allowing for "aha-responses" generation to the attended targets. This allows for successful imple...

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Published in2013 International Conference on Signal-Image Technology & Internet-Based Systems pp. 818 - 824
Main Authors Aminaka, Daiki, Mori, Koichi, Matsui, Toshie, Makino, Shoji, Rutkowski, Tomasz M.
Format Conference Proceeding
LanguageEnglish
Japanese
Published IEEE 01.12.2013
Subjects
Accuracy
Auditory BCI
Auditory system
Bones
brain signal processing
EEG
Electrodes
Electroencephalography
P300
Transducers
Visualization
Online AccessGet full text
DOI10.1109/SITIS.2013.133

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Abstract The paper presents a novel bone-conduction based brain-computer interface paradigm. Four sub-threshold acoustic frequency stimulus patterns are presented to the subjects in an oddball paradigm allowing for "aha-responses" generation to the attended targets. This allows for successful implementation of the bone-conduction based brain-computer interface (BCI) paradigm. The concept is confirmed with seven subjects in online bone-conducted auditory Morse-code patterns spelling BCI paradigm. We report also brain electrophysiological signal processing and classification steps taken to achieve the successful BCI paradigm. We also present a finding of the response latency variability in a function of stimulus difficulty.
AbstractList The paper presents a novel bone-conduction based brain-computer interface paradigm. Four sub-threshold acoustic frequency stimulus patterns are presented to the subjects in an oddball paradigm allowing for "aha-responses" generation to the attended targets. This allows for successful implementation of the bone-conduction based brain-computer interface (BCI) paradigm. The concept is confirmed with seven subjects in online bone-conducted auditory Morse-code patterns spelling BCI paradigm. We report also brain electrophysiological signal processing and classification steps taken to achieve the successful BCI paradigm. We also present a finding of the response latency variability in a function of stimulus difficulty.
Author Makino, Shoji
Matsui, Toshie
Rutkowski, Tomasz M.
Aminaka, Daiki
Mori, Koichi
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  givenname: Tomasz M.
  surname: Rutkowski
  fullname: Rutkowski, Tomasz M.
  organization: Life Sci. Center of TARA, Univ. of Tsukuba, Tsukuba, Japan
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Snippet The paper presents a novel bone-conduction based brain-computer interface paradigm. Four sub-threshold acoustic frequency stimulus patterns are presented to...
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SubjectTerms Accuracy
Auditory BCI
Auditory system
Bones
brain signal processing
EEG
Electrodes
Electroencephalography
P300
Transducers
Visualization
Title Bone-Conduction-Based Brain Computer Interface Paradigm -- EEG Signal Processing, Feature Extraction and Classification
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