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A Study on Reduction of Discrimination Time of P300 speller Applied to Reliability-based Selective Repeat Automatic Repeat reQuest
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- Kaneda Yusuke
- Nagoya University
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- Takahashi Hiromu
- Nagoya University
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- Yoshikawa Tomohiro
- Nagoya University
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- Furuhashi Takeshi
- Nagoya University
Bibliographic Information
- Other Title
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- 選択的自動再送要求を用いたP300 spellerの判別時間短縮に関する検討
Description
The Brain-Computer Interfaces (BCIs) control a computer or machine based on the information of human's brain, and the P300 speller is one of the BCI communication tools. The P300 speller discriminates a character after averaging the plural EEG data to improve the accuracy. Whereas reliability-based automatic repeat request (RB-ARQ) is an error control method designed for BCIs, which makes a user keep thinking until a given reliability is satisfied and can improve the accuracy of BCI with a small loss of the discrimination speed. And, this paper proposes RB-Selective Repeat ARQ (RB-SR-ARQ) which selectively requests a user to re-send the data based on the reliability of each data. This paper applies RB-SR-ARQ to the P300 speller, and then it shows that the time required for thought discrimination is able to be reduced while same accuracy is preserved.
Journal
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- Proceedings of the Fuzzy System Symposium
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Proceedings of the Fuzzy System Symposium 26 (0), 70-70, 2010
Japan Society for Fuzzy Theory and Intelligent Informatics
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Details 詳細情報について
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- CRID
- 1390282680650127360
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- NII Article ID
- 130005035604
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- Text Lang
- ja
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- Data Source
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- JaLC
- CiNii Articles
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- Abstract License Flag
- Disallowed