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Paradigm Shift in Remote Eye Gaze Tracking Research: Highlights on Past and Recent Progress

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Proceedings of the Future Technologies Conference (FTC) 2020, Volume 1 (FTC 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1288))

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Abstract

Over the last two decades, researchers have demonstrated the potentials in using eye gaze data for various tasks across fields of human endeavor. In this light, Remote Eye Gaze Tracking Systems (REGTs) rose to popularity with the presentation of several hardware and software modules intended for the Point of Gaze (POG) estimation task. This paper presents a paradigm shift in REGTs research from past to recent progress point of view. Our findings and discussions are focused on hardware, software, and application areas of REGTs, which we hope will benefit current and future researchers in this field.

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Acknowledgments

This work was supported in part by the National Natural Science Foundation of China Grant 61802043 and Grant 61370142, by the Liaoning Revitalization Talents Program Grant XLYC1908007, by the Foundation of Liaoning Key Research and Development Program Grant 201801728, by the Fundamental Research Funds for the Central Universities Grant 3132016352 and Grant 3132020215, by the Dalian Science and Technology Innovation Fund 2018J12GX037 and 2019J11CY001.

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  1. Information Science and Technology College, Dalian Maritime University, Dalian, 116026, China

    Ibrahim Shehi Shehu, Yafei Wang, Athuman Mohamed Athuman & Xianping Fu

  2. Pengcheng Laboratory, Shenzhen, 518055, China

    Xianping Fu

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  1. Ibrahim Shehi Shehu
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  2. Yafei Wang
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  3. Athuman Mohamed Athuman
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  4. Xianping Fu
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Correspondence to Xianping Fu .

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  1. Faculty of Science and Engineering, Saga University, Saga, Japan

    Kohei Arai

  2. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Supriya Kapoor

  3. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Rahul Bhatia

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Shehu, I.S., Wang, Y., Athuman, A.M., Fu, X. (2021). Paradigm Shift in Remote Eye Gaze Tracking Research: Highlights on Past and Recent Progress. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Proceedings of the Future Technologies Conference (FTC) 2020, Volume 1. FTC 2020. Advances in Intelligent Systems and Computing, vol 1288. Springer, Cham. https://doi.org/10.1007/978-3-030-63128-4_14

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