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EOG-sEMG Human Interface for Communication
Joint Authors
Tamura, Hiroki
Yan, Mingmin
Sakurai, Keiko
Tanno, Koichi
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2016, Issue 2016 (31 Dec. 2015), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-06-21
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
The aim of this study is to present electrooculogram (EOG) and surface electromyogram (sEMG) signals that can be used as a human-computer interface.
Establishing an efficient alternative channel for communication without overt speech and hand movements is important for increasing the quality of life for patients suffering from amyotrophic lateral sclerosis, muscular dystrophy, or other illnesses.
In this paper, we propose an EOG-sEMG human-computer interface system for communication using both cross-channels and parallel lines channels on the face with the same electrodes.
This system could record EOG and sEMG signals as “dual-modality” for pattern recognition simultaneously.
Although as much as 4 patterns could be recognized, dealing with the state of the patients, we only choose two classes (left and right motion) of EOG and two classes (left blink and right blink) of sEMG which are easily to be realized for simulation and monitoring task.
From the simulation results, our system achieved four-pattern classification with an accuracy of 95.1%.
American Psychological Association (APA)
Tamura, Hiroki& Yan, Mingmin& Sakurai, Keiko& Tanno, Koichi. 2016. EOG-sEMG Human Interface for Communication. Computational Intelligence and Neuroscience،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1099751
Modern Language Association (MLA)
Tamura, Hiroki…[et al.]. EOG-sEMG Human Interface for Communication. Computational Intelligence and Neuroscience Vol. 2016, no. 2016 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1099751
American Medical Association (AMA)
Tamura, Hiroki& Yan, Mingmin& Sakurai, Keiko& Tanno, Koichi. EOG-sEMG Human Interface for Communication. Computational Intelligence and Neuroscience. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1099751
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1099751