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Eye Movement Detection Using EOG for Communication of People with Disabilities
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- Baba Ryosuke
- Department of Advanced Technology Fusion, Saga University
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- Sugi Takenao
- Department of Advanced Technology Fusion, Saga University
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- Matsuda Yoshitaka
- Department of Advanced Technology Fusion, Saga University
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- Goto Satoru
- Department of Advanced Technology Fusion, Saga University
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- Yamasaki Takao
- Department of Clinical Neurophysiology, Kyushu University
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- Oishi Ayame
- Department of Clinical Neurophysiology, Kyushu University
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- Egashira Naruto
- National Institute of Technology, Kurume College
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Description
This research attempts the eye movement detection for the communication of people with disabilities by employing the electrooculographic (EOG) signals. Eye movements for the left and the right are detected by capturing the peak which appears in the waveform. Then, the judgment for left or right eye movement is conducted based on four parameters about the detected peak. To confirm the effectiveness of the eye movement detection method considered in this research, experiments were performed.
Journal
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- Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications
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Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications 2018 (0), 177-181, 2018-06-15
The ISCIE Symposium on Stochastic Systems Theory and Its Applications
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Details 詳細情報について
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- CRID
- 1390845713038196608
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- NII Article ID
- 130007580013
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- ISSN
- 21884749
- 21884730
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- Text Lang
- en
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
- OpenAIRE
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- Abstract License Flag
- Disallowed
