Gaze Estimation Method Using Analysis of Electrooculogram Signals and Kinect Sensor
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 conduc...
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Series: | Computational Intelligence and Neuroscience |
Online Access: | http://dx.doi.org/10.1155/2017/2074752 |
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doaj-1b882c9d00dd449b999510d7cd6fefbe2020-11-24T21:08:37ZengHindawi LimitedComputational Intelligence and Neuroscience1687-52651687-52732017-01-01201710.1155/2017/20747522074752Gaze Estimation Method Using Analysis of Electrooculogram Signals and Kinect SensorKeiko Sakurai0Mingmin Yan1Koichi Tanno2Hiroki Tamura3Interdisciplinary Graduate School of Agriculture and Engineering, University of Miyazaki, Miyazaki, JapanFaculty of Engineering, University of Miyazaki, Miyazaki, JapanFaculty of Engineering, University of Miyazaki, Miyazaki, JapanFaculty of Engineering, University of Miyazaki, Miyazaki, JapanA 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.http://dx.doi.org/10.1155/2017/2074752 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Keiko Sakurai Mingmin Yan Koichi Tanno Hiroki Tamura |
spellingShingle |
Keiko Sakurai Mingmin Yan Koichi Tanno Hiroki Tamura Gaze Estimation Method Using Analysis of Electrooculogram Signals and Kinect Sensor Computational Intelligence and Neuroscience |
author_facet |
Keiko Sakurai Mingmin Yan Koichi Tanno Hiroki Tamura |
author_sort |
Keiko Sakurai |
title |
Gaze Estimation Method Using Analysis of Electrooculogram Signals and Kinect Sensor |
title_short |
Gaze Estimation Method Using Analysis of Electrooculogram Signals and Kinect Sensor |
title_full |
Gaze Estimation Method Using Analysis of Electrooculogram Signals and Kinect Sensor |
title_fullStr |
Gaze Estimation Method Using Analysis of Electrooculogram Signals and Kinect Sensor |
title_full_unstemmed |
Gaze Estimation Method Using Analysis of Electrooculogram Signals and Kinect Sensor |
title_sort |
gaze estimation method using analysis of electrooculogram signals and kinect sensor |
publisher |
Hindawi Limited |
series |
Computational Intelligence and Neuroscience |
issn |
1687-5265 1687-5273 |
publishDate |
2017-01-01 |
description |
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. |
url |
http://dx.doi.org/10.1155/2017/2074752 |
work_keys_str_mv |
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1716760097834663936 |