Filtering on the Go : Effect of Filters on Gaze Pointing Accuracy During Physical Locomotion in Extended Reality

Manakhov, Pavel and Sidenmark, Ludwig and Pfeuffer, Ken and Gellersen, Hans (2024) Filtering on the Go : Effect of Filters on Gaze Pointing Accuracy During Physical Locomotion in Extended Reality. IEEE Transactions on Visualization and Computer Graphics, 30 (11). pp. 7234-7244. ISSN 1077-2626

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Abstract

Eye tracking filters have been shown to improve accuracy of gaze estimation and input for stationary settings. However, their effectiveness during physical movement remains underexplored. In this work, we compare common online filters in the context of physical locomotion in extended reality and propose alterations to improve them for on-the-go settings. We conducted a computational experiment where we simulate performance of the online filters using data on participants attending visual targets located in world-, path-, and two head-based reference frames while standing, walking, and jogging. Our results provide insights into the filters' effectiveness and factors that affect it, such as the amount of noise caused by locomotion and differences in compensatory eye movements, and demonstrate that filters with saccade detection prove most useful for on-the-go settings. We discuss the implications of our findings and conclude with guidance on gaze data filtering for interaction in extended reality.

Item Type:
Journal Article
Journal or Publication Title:
IEEE Transactions on Visualization and Computer Graphics
Uncontrolled Keywords:
Research Output Funding/yes_externally_funded
Subjects:
?? yes - externally fundedsignal processingcomputer graphics and computer-aided designsoftwarecomputer vision and pattern recognition ??
ID Code:
225303
Deposited By:
Deposited On:
28 Oct 2024 10:55
Refereed?:
Yes
Published?:
Published
Last Modified:
11 Dec 2024 00:34