Voluntary Eye Blink Detection Using Electrooculogram for Controlling Powered Wheelchairs Considering Environmental Information
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- Nakanishi Masaki
- Graduate School of Science and Technology, Keio University
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- Okugawa Kyohei
- Graduate School of Science and Technology, Keio University
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- Takahashi Masaki
- Department of Science and Technology, Keio University
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- Mitsukura Yasue
- Department of Science and Technology, Keio University
Bibliographic Information
- Other Title
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- 環境情報を考慮した電動車椅子制御のための眼電位を用いた随意性瞬目検出手法
- カンキョウ ジョウホウ オ コウリョ シタ デンドウクルマ イス セイギョ ノ タメ ノ ガン デンイ オ モチイタ ズイイセイシュンモク ケンシュツ シュホウ
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Abstract
This paper describes the voluntary eye blink detection method using electrooculogram (EOG) for controlling a powered wheelchair. This study aims to apply double blink, left and right wink to control commands for a powered wheelchair such as go/stop, left and right turn. Our previous study showed that these eye blinks can be detected by using EOG and classification models specialized for individuals. Therefore, the persons who are not registered cannot use this system because the amplitude of EOG has an individual difference. In this study, we proposed the voluntary eye blink detection method that has robustness for individual difference of EOG amplitude by using correlation coefficient with template signal. As the result of simulations, an averaged accuracy of 98.05% was obtained, and the efficacy of powered wheelchair applied the proposed method was confirmed.
Journal
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- IEEJ Transactions on Electronics, Information and Systems
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IEEJ Transactions on Electronics, Information and Systems 133 (10), 1969-1975, 2013
The Institute of Electrical Engineers of Japan
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Details 詳細情報について
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- CRID
- 1390001204609174144
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- NII Article ID
- 10031200987
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- NII Book ID
- AN10065950
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- ISSN
- 13488155
- 03854221
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- NDL BIB ID
- 024946811
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed
