학술논문

Tactile and bone-conduction auditory brain computer interface for vision and hearing impaired users — Stimulus pattern and BCI accuracy improvement
Document Type
Conference
Source
Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific. :1-7 Dec, 2014
Subject
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Signal Processing and Analysis
Electroencephalography
Accuracy
Visualization
Electrodes
Time factors
Color
Educational institutions
Language
Abstract
This paper aims to improve tactile and bone-conduction brain computer interface (tbaBCI) classification accuracy based on a new stimulus pattern search in order to trigger more separable P300 responses. We propose and investigate three approaches to stimulus spatial and frequency content modification. As result of the online tbaBCI classification accuracy tests with six subjects we conclude that frequency modification in the previously reported single vibrotactile exciter-based patterns leads to border of significance statistical improvements.