research-article

Bayesian online clustering of eye movement data

Authors:

Enkelejda Tafaj,

Gjergji Kasneci,

Wolfgang Rosenstiel,

Martin BogdanAuthors Info & Claims

ETRA '12: Proceedings of the Symposium on Eye Tracking Research and Applications

Pages 285 - 288

https://doi.org/10.1145/2168556.2168617

Published: 28 March 2012 Publication History

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Abstract

The task of automatically tracking the visual attention in dynamic visual scenes is highly challenging. To approach it, we propose a Bayesian online learning algorithm. As the visual scene changes and new objects appear, based on a mixture model, the algorithm can identify and tell visual saccades (transitions) from visual fixation clusters (regions of interest). The approach is evaluated on real-world data, collected from eye-tracking experiments in driving sessions.

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Cited By

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Belardinelli A(2024)Gaze-Based Intention Estimation: Principles, Methodologies, and Applications in HRIACM Transactions on Human-Robot Interaction10.1145/365637613:3(1-30)Online publication date: 26-Sep-2024
https://dl.acm.org/doi/10.1145/3656376
Biswas APardhi BChuck CHoltz JNiekum SAdmoni HAllievi A(2024)Gaze Supervision for Mitigating Causal Confusion in Driving Agents2024 IEEE Intelligent Vehicles Symposium (IV)10.1109/IV55156.2024.10588498(2331-2338)Online publication date: 2-Jun-2024
https://doi.org/10.1109/IV55156.2024.10588498
Chen CZou QSong YYu MZhu SSong SLi X(2024)Visual Attention Based Cognitive Human–Robot Collaboration for Pedicle Screw Placement in Robot-Assisted Orthopedic Surgery2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)10.1109/IROS58592.2024.10801930(7078-7084)Online publication date: 14-Oct-2024
https://doi.org/10.1109/IROS58592.2024.10801930
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Index Terms

Bayesian online clustering of eye movement data
1. Computing methodologies
  1. Machine learning
    1. Learning paradigms
      1. Unsupervised learning
        Cluster analysis

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Information & Contributors

Information

Published In

ETRA '12: Proceedings of the Symposium on Eye Tracking Research and Applications

March 2012

420 pages

ISBN:9781450312219

DOI:10.1145/2168556

Conference Chairs:
Carlos H. Morimoto
University of São Paulo, Brazil
,
Howell Istance
Montfort University, UK
,
Editor:
Stephen N. Spencer
University of Washington
,
Program Chairs:
Jeffrey B. Mulligan
NASA
,
Pernilla Qvarfordt
FX Palo Alto

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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 March 2012

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ETRA '12

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ETRA '12: Eye Tracking Research and Applications

March 28 - 30, 2012

California, Santa Barbara

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Overall Acceptance Rate 69 of 137 submissions, 50%

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Cited By

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Belardinelli A(2024)Gaze-Based Intention Estimation: Principles, Methodologies, and Applications in HRIACM Transactions on Human-Robot Interaction10.1145/365637613:3(1-30)Online publication date: 26-Sep-2024
https://dl.acm.org/doi/10.1145/3656376
Biswas APardhi BChuck CHoltz JNiekum SAdmoni HAllievi A(2024)Gaze Supervision for Mitigating Causal Confusion in Driving Agents2024 IEEE Intelligent Vehicles Symposium (IV)10.1109/IV55156.2024.10588498(2331-2338)Online publication date: 2-Jun-2024
https://doi.org/10.1109/IV55156.2024.10588498
Chen CZou QSong YYu MZhu SSong SLi X(2024)Visual Attention Based Cognitive Human–Robot Collaboration for Pedicle Screw Placement in Robot-Assisted Orthopedic Surgery2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)10.1109/IROS58592.2024.10801930(7078-7084)Online publication date: 14-Oct-2024
https://doi.org/10.1109/IROS58592.2024.10801930
Mirbagheri MChau T(2024)Optimising virtual object position for efficient eye-gaze interaction in Hololens2Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization10.1080/21681163.2024.233776512:1Online publication date: 14-Apr-2024
https://doi.org/10.1080/21681163.2024.2337765
Guo SShi YXiao PFu YLin JZeng WLee T(2023)Creative and Progressive Interior Color Design with Eye-tracked User PreferenceACM Transactions on Computer-Human Interaction10.1145/354292230:1(1-31)Online publication date: 7-Mar-2023
https://dl.acm.org/doi/10.1145/3542922
Gao HKasneci E(2023)Eye‐Tracking‐Based Prediction of User Experience in VR Locomotion Using Machine LearningComputer Graphics Forum10.1111/cgf.1470341:7(589-599)Online publication date: 20-Mar-2023
https://doi.org/10.1111/cgf.14703
Biswas AAdmoni H(2023)Characterizing Drivers’ Peripheral Vision via the Functional Field of View for Intelligent Driving Assistance2023 IEEE Intelligent Vehicles Symposium (IV)10.1109/IV55152.2023.10186746(1-8)Online publication date: 4-Jun-2023
https://doi.org/10.1109/IV55152.2023.10186746
Adhanom IMacNeilage PFolmer E(2023)Eye Tracking in Virtual Reality: a Broad Review of Applications and ChallengesVirtual Reality10.1007/s10055-022-00738-z27:2(1481-1505)Online publication date: 18-Jan-2023
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Tseng FFilev DYildirim MChinnam R(2022)Online System Prognostics with Ensemble Models and Evolving ClusteringMachines10.3390/machines1101004011:1(40)Online publication date: 29-Dec-2022
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Ren YLi QLiu WLi LGuan W(2022)Semantics characterization for eye shapes based on directional triangle-area curve clusteringMultimedia Tools and Applications10.1007/s11042-019-7659-478:18(25373-25406)Online publication date: 10-Mar-2022
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