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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Main Authors: Keiko Sakurai, Mingmin Yan, Koichi Tanno, Hiroki Tamura
Format: Article
Language:English
Published: Hindawi Limited 2017-01-01
Series:Computational Intelligence and Neuroscience
Online Access:http://dx.doi.org/10.1155/2017/2074752
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spelling 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
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AT mingminyan gazeestimationmethodusinganalysisofelectrooculogramsignalsandkinectsensor
AT koichitanno gazeestimationmethodusinganalysisofelectrooculogramsignalsandkinectsensor
AT hirokitamura gazeestimationmethodusinganalysisofelectrooculogramsignalsandkinectsensor
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