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Identifying parameter values for an I-VT fixation filter suitable for handling data sampled with various sampling frequencies

Published: 28 March 2012 Publication History

Abstract

Selecting values for fixation filters is a difficult task as not only the specifics of the selected filter algorithm has to be taken into account, but also what it is going to be used for and by whom. In this paper the selection and testing process of values for an I-VT fixation filter algorithm implementation is described.

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        cover image ACM Conferences
        ETRA '12: Proceedings of the Symposium on Eye Tracking Research and Applications
        March 2012
        420 pages
        ISBN:9781450312219
        DOI:10.1145/2168556
        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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        Publication History

        Published: 28 March 2012

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        Author Tags

        1. algorithm
        2. classification
        3. eye movements
        4. scoring

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        ETRA '12
        ETRA '12: Eye Tracking Research and Applications
        March 28 - 30, 2012
        California, Santa Barbara

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        • (2024)Blink rate during saccadic eye movements: insights from patients with chronic painJournal of Medicine and Life10.25122/jml-2024-027117:3(368-374)Online publication date: Mar-2024
        • (2024)GazeIntent: Adapting Dwell-time Selection in VR Interaction with Real-time Intent ModelingProceedings of the ACM on Human-Computer Interaction10.1145/36556008:ETRA(1-18)Online publication date: 28-May-2024
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