ID 113536
Author
Zhang, Peng Tokushima University
Keywords
Electrooculography
Learning Vector Quantization
eye motions
EOG Mouse
Content Type
Journal Article
Description
Recognition of eye motions has attracted more and more attention of researchers all over the world in recent years. Compared with other body movements, eye motion is responsive and needs a low consumption of physical strength. In particular, for patients with severe physical disabilities, eye motion is the last spontaneous motion for them to make a respond. In order to provide an efficient means of communication for patients such as ALS (amyotrophic lateral sclerosis) who cannot move even their muscles except eye, in this paper we proposed a system that uses EOG signals and Learning Vector Quantization algorithm to recognize eye motions. According to recognition results, we use API (application programming interface) to control cursor movements. This system would be used as a means of communication to help ALS patients.
Journal Title
Journal of the Institute of Industrial Applications Engineers
ISSN
21878811
21881758
Publisher
The Institute of Industrial Applications Engineers
Volume
3
Issue
2
Start Page
52
End Page
58
Published Date
2015-04-25
Rights
© 2015 The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution License(https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
EDB ID
DOI (Published Version)
URL ( Publisher's Version )
FullText File
language
eng
TextVersion
Publisher
departments
Science and Technology