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Gaze Estimation Method Using Analysis of Electrooculogram Signals and Kinect Sensor
Joint Authors
Tamura, Hiroki
Yan, Mingmin
Sakurai, Keiko
Tanno, Koichi
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-08-20
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
A gaze estimation system is one of the communication methods for severely disabled people who cannot perform gestures and speech.
We previously developed an eye tracking method using a compact and light electrooculogram (EOG) signal, but its accuracy is not very high.
In the present study, we conducted experiments to investigate the EOG component strongly correlated with the change of eye movements.
The experiments in this study are of two types: experiments to see objects only by eye movements and experiments to see objects by face and eye movements.
The experimental results show the possibility of an eye tracking method using EOG signals and a Kinect sensor.
American Psychological Association (APA)
Sakurai, Keiko& Yan, Mingmin& Tanno, Koichi& Tamura, Hiroki. 2017. Gaze Estimation Method Using Analysis of Electrooculogram Signals and Kinect Sensor. Computational Intelligence and Neuroscience،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1139848
Modern Language Association (MLA)
Sakurai, Keiko…[et al.]. Gaze Estimation Method Using Analysis of Electrooculogram Signals and Kinect Sensor. Computational Intelligence and Neuroscience No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1139848
American Medical Association (AMA)
Sakurai, Keiko& Yan, Mingmin& Tanno, Koichi& Tamura, Hiroki. Gaze Estimation Method Using Analysis of Electrooculogram Signals and Kinect Sensor. Computational Intelligence and Neuroscience. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1139848
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1139848