DocumentCode :
118408
Title :
P300 responses classification improvement in tactile BCI with touch-sense glove
Author :
Yajima, Hiroki ; Makino, Shoji ; Rutkowski, Tomasz M.
Author_Institution :
Dept. of Comput. Sci. & Life Sci. Center of TARA, Univ. of Tsukuba, Tsukuba, Japan
fYear :
2014
fDate :
9-12 Dec. 2014
Firstpage :
1
Lastpage :
7
Abstract :
This paper reports on a project aiming to confirm whether a tactile stimulator "touch-sense glove" is effective for a novel brain-computer interface (BCI) paradigm and whether the tactile stimulus delivered to the fingers could be utilized to evoke event related potential (ERP) responses with possible attentional modulation. The tactile ERPs are expected to improve the BCI accuracy. The proposed new stimulator device is presented in detail together with psychophysical and EEG BCI experiment protocols. Results supporting the proposed "touch-sense glove" device are presented in form of online BCI classification accuracy results. Finally, we outline the future possible paradigm improvements.
Keywords :
bioelectric potentials; brain-computer interfaces; data gloves; electroencephalography; pattern classification; tactile sensors; EEG BCI experiment; ERP responses; P300 response classification improvement; brain-computer interface paradigm; event related potential responses; online BCI classification; tactile BCI paradigm; tactile stimulator; touch-sense glove; Accuracy; Electrodes; Electroencephalography; Ports (Computers); Protocols; Time factors; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Asia-Pacific Signal and Information Processing Association, 2014 Annual Summit and Conference (APSIPA)
Conference_Location :
Siem Reap
Type :
conf
DOI :
10.1109/APSIPA.2014.7041770
Filename :
7041770
Link To Document :
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