Wibirama, Sunu and Murnani, Suatmi and Akhmad Setiawan, Noor Akhmad (2020) Spontaneous gaze gesture interaction in the presence of noises and various types of eye movements. Eye Tracking Research and Applications Symposium (ETRA).
Full text not available from this repository. (Request a copy)Abstract
Gaze gesture is a desirable technique for a spontaneous and pervasive gaze interaction due to its insensitivity to spatial accuracy. Unfortunately, gaze gesture-based object selection utilizing correlation coefficient is prone to a low object selection accuracy due to presence of noises. In addition, effect of various types of eye movements that present in gaze gesture-based object selection has not been tackled properly. To overcome these problems, we propose a denoising method for gaze gesture-based object selection using First Order IIR Filter and an event detection method based on the Hidden Markov Model. The experimental results show that the proposed method yielded the best object selection accuracy of. The result suggests that a spontaneous gaze gesture-based object selection is feasible to be developed in the presence of noises and various types of eye movements. © 2020 Elsevier B.V., All rights reserved.
| Item Type: | Article |
|---|---|
| Additional Information: | Cited by: 20 |
| Uncontrolled Keywords: | Eye tracking; Hidden Markov models; IIR filters; Correlation coefficient; Denoising methods; Event detection; First order; Gaze interaction; Gesture interaction; Object selection; Spatial accuracy; Eye movements |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Faculty of Engineering > Electrical and Information Technology Department |
| Depositing User: | Sri JUNANDI |
| Date Deposited: | 10 Oct 2025 03:15 |
| Last Modified: | 10 Oct 2025 03:15 |
| URI: | https://ir.lib.ugm.ac.id/id/eprint/22180 |
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