Conference proceeding
Post-processing integration and semi-automated analysis of eye-tracking and motion-capture data obtained in immersive virtual reality environments to measure visuomotor integration
ACM Symposium on Eye Tracking Research and Applications, Vol.169260, pp.1-4
ACM Conferences
ETRA '21: 2021 Symposium on Eye Tracking Research and Applications
05/01/2021
DOI: 10.1145/3450341.3458881
PMID: 34263270
Abstract
Mobile eye-tracking and motion-capture techniques yield rich, precisely quantifiable data that can inform our understanding of the relationship between visual and motor processes during task performance. However, these systems are rarely used in combination, in part because of the significant time and human resources required for post-processing and analysis. Recent advances in computer vision have opened the door for more efficient processing and analysis solutions. We developed a post-processing pipeline to integrate mobile eye-tracking and full-body motion-capture data. These systems were used simultaneously to measure visuomotor integration in an immersive virtual environment. Our approach enables calculation of a 3D gaze vector that can be mapped to the participant's body position and objects in the virtual environment using a uniform coordinate system. This approach is generalizable to other configurations, and enables more efficient analysis of eye, head, and body movements together during visuomotor tasks administered in controlled, repeatable environments.
Details
- Title: Subtitle
- Post-processing integration and semi-automated analysis of eye-tracking and motion-capture data obtained in immersive virtual reality environments to measure visuomotor integration
- Creators
- Haylie L. Miller - University of MichiganIan Raphael Zurutuza - Biomedical Engineering University of North Texas, United StatesNicholas Fears - University of MichiganSuleyman Polat - University of North TexasRodney Nielsen - University of North Texas
- Contributors
- Andreas Bulling (Editor) - University of StuttgartAnke Huckauf (Editor) - Ulm University, GermanyHans Gellersen (Editor) - Aarhus UniversityDaniel Weiskopf (Editor) - University of StuttgartMihai Bace (Editor) - ETH ZurichTeresa Hirzle (Editor) - Ulm University, GermanyFlorian Alt (Editor) - Ludwig-Maximilians-Universität MünchenThies Pfeiffer (Editor) - Hochschule Emden/Leer, GermanyRoman Bednarik (Editor) - University of Eastern FinlandKrzysztof Krejtz (Editor) - SWPS University of Social Sciences and Humanities, PolandTanja Blascheck (Editor) - University of StuttgartMichael Burch (Editor) - University of Applied Sciences, Chur, SwitzerlandPeter Kiefer (Editor) - ETH ZurichMichael Dodd (Editor) - University of Nebraska–LincolnBonita Sharif (Editor) - University of Nebraska–Lincoln
- Resource Type
- Conference proceeding
- Publication Details
- ACM Symposium on Eye Tracking Research and Applications, Vol.169260, pp.1-4
- Conference
- ETRA '21: 2021 Symposium on Eye Tracking Research and Applications
- Series
- ACM Conferences
- DOI
- 10.1145/3450341.3458881
- PMID
- 34263270
- Publisher
- ACM
- Number of pages
- 4
- Language
- English
- Date published
- 05/01/2021
- Academic Unit
- Health, Sport, and Human Physiology
- Record Identifier
- 9985219859502771
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