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