Estimation of Glance from EEG using cursor control

The variations in the electrooculogram (EOG) caused by eye motion are roughly proportional to the instantaneous horizontal and vertical glance angle. This linear correlation is exploited in systems using EOG to control software, and hardware such as artificial limbs, or wheelchairs. In these approac...

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Main Authors: Tan, Tele, Hakenberg, Jan, Guan, C.
Other Authors: N.A.
Format: Conference Paper
Published: IEEE 2013
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/47816
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author Tan, Tele
Hakenberg, Jan
Guan, C.
author2 N.A.
author_facet N.A.
Tan, Tele
Hakenberg, Jan
Guan, C.
author_sort Tan, Tele
building Curtin Institutional Repository
collection Online Access
description The variations in the electrooculogram (EOG) caused by eye motion are roughly proportional to the instantaneous horizontal and vertical glance angle. This linear correlation is exploited in systems using EOG to control software, and hardware such as artificial limbs, or wheelchairs. In these approaches, the drift in the electronics is commonly compensated by applying a high-pass filter. Consequently, the remaining EOG signal contains only blinks and rapid eye movement. However, repeating these eye gestures voluntarily is exhausting. This paper presents an algorithm that estimates the instantaneous glance of a subject from EEG signals. The subject is seated in front of a computer screen to control an application by glance. Because the visual field of interest, in this setting, is the limited area of the monitor, we can compensate the error in the glance estimate by detecting outliers. Because no high-pass filter is applied to the data, the user controls the applications by eye glance, which is comfortable and can be performed over extended periods of time. The numerical evaluation of the experiments with 12 volunteers, and video recordings of EOG controlled applications demonstrate the accuracy of our algorithm.
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spelling curtin-20.500.11937-478162017-09-13T14:18:22Z Estimation of Glance from EEG using cursor control Tan, Tele Hakenberg, Jan Guan, C. N.A. electrooculogram. eye glance estimation The variations in the electrooculogram (EOG) caused by eye motion are roughly proportional to the instantaneous horizontal and vertical glance angle. This linear correlation is exploited in systems using EOG to control software, and hardware such as artificial limbs, or wheelchairs. In these approaches, the drift in the electronics is commonly compensated by applying a high-pass filter. Consequently, the remaining EOG signal contains only blinks and rapid eye movement. However, repeating these eye gestures voluntarily is exhausting. This paper presents an algorithm that estimates the instantaneous glance of a subject from EEG signals. The subject is seated in front of a computer screen to control an application by glance. Because the visual field of interest, in this setting, is the limited area of the monitor, we can compensate the error in the glance estimate by detecting outliers. Because no high-pass filter is applied to the data, the user controls the applications by eye glance, which is comfortable and can be performed over extended periods of time. The numerical evaluation of the experiments with 12 volunteers, and video recordings of EOG controlled applications demonstrate the accuracy of our algorithm. 2013 Conference Paper http://hdl.handle.net/20.500.11937/47816 10.1109/EMBC.2013.6610151 IEEE restricted
spellingShingle electrooculogram. eye glance estimation
Tan, Tele
Hakenberg, Jan
Guan, C.
Estimation of Glance from EEG using cursor control
title Estimation of Glance from EEG using cursor control
title_full Estimation of Glance from EEG using cursor control
title_fullStr Estimation of Glance from EEG using cursor control
title_full_unstemmed Estimation of Glance from EEG using cursor control
title_short Estimation of Glance from EEG using cursor control
title_sort estimation of glance from eeg using cursor control
topic electrooculogram. eye glance estimation
url http://hdl.handle.net/20.500.11937/47816