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Quantitative Biology > Neurons and Cognition

arXiv:1404.4226 (q-bio)
[Submitted on 16 Apr 2014]

Title:Spatial Tactile Brain-Computer Interface Paradigm Applying Vibration Stimuli to Large Areas of User's Back

Authors:Takumi Kodama, Shoji Makino, Tomasz M. Rutkowski
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Abstract:We aim at an augmentation of communication abilities of amyotrophic lateral sclerosis (ALS) patients by creating a brain-computer interface (BCI) which can control a computer or other device by using only brain activity. As a method, we use a stimulus-driven BCI based on vibration stimuli delivered via a gaming pad to the user's back. We identify P300 responses from brain activity data in response to the vibration stimuli. The user's intentions are classified according to the P300 responses recorded in the EEG. From the results of the psychophysical and online BCI experiments, we are able to classify the P300 responses very accurately, which proves the effectiveness of the proposed method.
Comments: 5 pages, 4 figures, submitted to 6th International Brain-Computer Interface Conference 2014, Graz, Austria
Subjects: Neurons and Cognition (q-bio.NC); Human-Computer Interaction (cs.HC)
Cite as: arXiv:1404.4226 [q-bio.NC]
  (or arXiv:1404.4226v1 [q-bio.NC] for this version)
  https://doi.org/10.48550/arXiv.1404.4226
Related DOI: https://doi.org/10.3217/978-3-85125-378-8-32

Submission history

From: Tomasz Rutkowski [view email]
[v1] Wed, 16 Apr 2014 12:51:08 UTC (1,285 KB)
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