Presentation 2012-09-29
A Preliminary Study on Text Input Method using Statistical Model of Cerebral Blood Flow Change
Yoshiyuki TAZAWA, Hiroki MORI,
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Abstract(in English) For realizing communication aids for physically handicapped patients such as ALS,a character inputmethod,which doesn't require a voluntary movement,is proposed. The method is based on the scanning commu-nication system,where the cerebral blood flow change is used for the input trigger. The method is based on the automatic error correction method,and estimates user's input using the cerebral blood flow change model and thestatistical language model. In order to verify the effectiveness of the proposed method,character input experiments were performed using artificial data that were created by simulating the changes in cerebral blood flow. The experiment using two-dimension vector,maximum instantaneous amplitude and oscillation frequency within single answer periods,showed an accuracy of 85.8%. The experiment using eleven-dimension vector,consisting maximum instantaneous amplitudes fbr every answer periods,showed an accuracy of 51.7%. The accuracy was further improved up to 95.8% by using the MAP estimation.
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Keyword(in English) BCI / NIRS / Scanning communication system / ALS
Paper # SP2012-64,WIT2012-16
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Committee WIT
Conference Date 2012/9/21(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Preliminary Study on Text Input Method using Statistical Model of Cerebral Blood Flow Change
Sub Title (in English)
Keyword(1) BCI
Keyword(2) NIRS
Keyword(3) Scanning communication system
Keyword(4) ALS
1st Author's Name Yoshiyuki TAZAWA
1st Author's Affiliation Graduate School of Engineering, Utsunomiya University()
2nd Author's Name Hiroki MORI
2nd Author's Affiliation Graduate School of Engineering, Utsunomiya University
Date 2012-09-29
Paper # SP2012-64,WIT2012-16
Volume (vol) vol.112
Number (no) 223
Page pp.pp.-
#Pages 6
Date of Issue