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Paper Abstract and Keywords
Presentation 2014-07-11 09:50
Methods for selecting user-dipendent parameters in self-paced brain--computer interfaces
Kaori Suefusa, Keita Shimpo, Toshihisa Tanaka (TUAT)
Abstract (in Japanese) (See Japanese page) 
(in English) Brain--computer interfaces (BCIs) control a device by capturing human brain activity.
Depending on an operating protocol, BCIs can be categorized into two types: synchronous BCI and asynchronous BCI.
In synchronous BCI, a user executes a task when a cue is given by the BCI system.
On the contrary, in self-paced (asynchronous) BCI, the timing of operation is dependent on the user, thus a command can be inputted when the user intents to do so.
Unlike the previously proposed self-paced BCIs, a method which chooses user-dependent parameters such as the position of electrodes and the time window of analysis is proposed in this paper.
The proposed BCI is based on steady-state visual evoked potentials (SSVEPs) responce of the brain to achieve fast and accurate command
input.
The calibration was performed to choose proper parameters for each user.
When using these parameters, we evaluated performance by investigating accuracy and an information transfer rate (ITR).
The resluts showed that the proposed self-paced BCI achieved almost the same ITR with a smaller number of electrodes than conventional methods.
Keyword (in Japanese) (See Japanese page) 
(in English) Brain--computer interface / Self-paced BCI / Steady-state visual evoked potential / / / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 124, SIP2014-55, pp. 177-181, July 2014.
Paper # SIP2014-55 
Date of Issue 2014-07-02 (CAS, VLD, SIP, MSS, SIS) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380

Conference Information
Committee CAS SIP MSS VLD SIS  
Conference Date 2014-07-09 - 2014-07-11 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) System, signal processing and related topics 
Paper Information
Registration To SIP 
Conference Code 2014-07-CAS-SIP-MSS-VLD-SIS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Methods for selecting user-dipendent parameters in self-paced brain--computer interfaces 
Sub Title (in English)  
Keyword(1) Brain--computer interface  
Keyword(2) Self-paced BCI  
Keyword(3) Steady-state visual evoked potential  
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1st Author's Name Kaori Suefusa  
1st Author's Affiliation Tokyo University of Agriculture and Technology (TUAT)
2nd Author's Name Keita Shimpo  
2nd Author's Affiliation Tokyo University of Agriculture and Technology (TUAT)
3rd Author's Name Toshihisa Tanaka  
3rd Author's Affiliation Tokyo University of Agriculture and Technology (TUAT)
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Speaker
Date Time 2014-07-11 09:50:00 
Presentation Time 20 
Registration for SIP 
Paper # IEICE-CAS2014-34,IEICE-VLD2014-43,IEICE-SIP2014-55,IEICE-MSS2014-34,IEICE-SIS2014-34 
Volume (vol) IEICE-114 
Number (no) no.122(CAS), no.123(VLD), no.124(SIP), no.125(MSS), no.126(SIS) 
Page pp.177-181 
#Pages IEICE-5 
Date of Issue IEICE-CAS-2014-07-02,IEICE-VLD-2014-07-02,IEICE-SIP-2014-07-02,IEICE-MSS-2014-07-02,IEICE-SIS-2014-07-02 


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