Detection of the eye-focused character on moving syllabary by Neural Networks for ALS patients
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- Kanou Naoyuki
- Yonago National College of Technology
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- Inoue Michio
- Tottori University
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- Kobayashi Yasuhiro
- Okayama University of Science
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- Kawamura Takao
- Tottori University
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- Nakashima Kenji
- Tottori University
Bibliographic Information
- Other Title
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- ALS患者のためのニューラルネットワークを用いた文字盤の移動による注視文字の検出
- ALS カンジャ ノ タメ ノ ニューラル ネットワーク オ モチイタ モジバン ノ イドウ ニ ヨル チュウシ モジ ノ ケンシュツ
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Abstract
Amyotrophic Lateral Sclerosis (ALS) is a progressive disease of motor nerves. The symptom is total paralysis. The authors have been developing a Communication Aids (CA). The most important part of the CA is the input device (sensor). In this paper, the authors propose the algorithm with which the sensor can detect the character on a moving syllabary the eye is focusing on, synchronized with the movement of the center of the pupil detected by neural networks. It is possible for the input device to detect the character exactly.
Journal
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- IEEJ Transactions on Electronics, Information and Systems
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IEEJ Transactions on Electronics, Information and Systems 122 (5), 744-752, 2002
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
- 1390282679587524224
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- NII Article ID
- 130006845716
- 10013480099
- 10008217681
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- NII Book ID
- AN10065950
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- ISSN
- 13488155
- 03854221
- http://id.crossref.org/issn/03854221
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- NDL BIB ID
- 6153064
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed
