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Egocentric Video Multi-viewer for Analyzing Skilled Behaviors based on Gaze Object

Published: 05 March 2018 Publication History

Abstract

In many intellectual tasks, efficient succession of human physical and sensory skills is a long-standing issue. In order to analyze skilled behaviors, a useful approach is to compare same task scenes among workers or days and to understand these differences. In this paper, we propose an egocentric scene classification method based on objects which the worker turned the gaze to and a multi-viewer for egocentric videos comparison. We have experimented on proposed classification method with videos of painting watercolor.

References

[1]
A. L. Yarbus, "Eye Movements and Vision," New York: Plenum Press, 1967.
[2]
A. Iwatsuki, T. Hirayama, J. Morita, K. Mase, "Skilled gaze behavior extraction based on dependency analysis of gaze patterns on video scenes," Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research and Applications, pp. 299--302, 2016.
[3]
J. Redmon, S. Divvala, R. Girshick, and A. Farhadi, "You Only Look Once: Unified, real-time object detection," Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 779--788, 2016.

Cited By

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  • (2021)Spatiotemporal Video Highlight by Neural Network Considering Gaze and Hands of Surgeon in Egocentric Surgical VideosJournal of Medical Robotics Research10.1142/S2424905X2141001407:01Online publication date: 22-Dec-2021

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  1. Egocentric Video Multi-viewer for Analyzing Skilled Behaviors based on Gaze Object

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    cover image ACM Conferences
    IUI '18 Companion: Companion Proceedings of the 23rd International Conference on Intelligent User Interfaces
    March 2018
    141 pages
    ISBN:9781450355711
    DOI:10.1145/3180308
    Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    New York, NY, United States

    Publication History

    Published: 05 March 2018

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    Author Tags

    1. Egocentric video
    2. gaze
    3. multi-viewer
    4. skill analysis

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    IUI '18 Companion Paper Acceptance Rate 63 of 127 submissions, 50%;
    Overall Acceptance Rate 746 of 2,811 submissions, 27%

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    • (2021)Spatiotemporal Video Highlight by Neural Network Considering Gaze and Hands of Surgeon in Egocentric Surgical VideosJournal of Medical Robotics Research10.1142/S2424905X2141001407:01Online publication date: 22-Dec-2021

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