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https://www.um.edu.mt/library/oar/handle/123456789/91746| Title: | EOG-based gaze angle estimation using a battery model of the eye |
| Authors: | Barbara, Nathaniel Camilleri, Tracey A. Camilleri, Kenneth P. |
| Keywords: | Electrooculography Brain-computer interfaces Human-computer interaction Eye contact Eye tracking Eye -- Movement Eye -- Movement -- Photographic measurements |
| Issue Date: | 2019 |
| Publisher: | IEEE |
| Citation: | Barbara, N., Camilleri, T. A., & Camilleri, K. P. (2019, July). Eog-based gaze angle estimation using a battery model of the eye. In 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 6918-6921). IEEE. |
| Abstract: | In this work, a novel method to estimate the gaze angles using electrooculographic (EOG) signals is presented. Specifically, this work investigates the use of a battery model of the eye, which relates the recorded EOG potential with the distances between the corresponding electrode and the centre points of the cornea and retina, for gaze angle estimation. Using this method a cross-validated horizontal and vertical gaze angle error of 2.42±0.91° and 2.30±0.50° respectively was obtained across six subjects, demonstrating that the proposed methods and the battery model may be used to estimate the user's ocular pose reliably. |
| URI: | https://www.um.edu.mt/library/oar/handle/123456789/91746 |
| Appears in Collections: | Scholarly Works - FacEngSCE |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| EOG-Based_Gaze_Angle_Estimation_Using_a_Battery_Model_of_the_Eye.pdf Restricted Access | 817.07 kB | Adobe PDF | View/Open Request a copy |
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