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An Accurate and Cost-Effective Approach Towards Real-Time Eye Movement Angle Estimation

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Wireless Mobile Communication and Healthcare (MobiHealth 2021)

Abstract

In this paper, an electrooculography (EOG)-based eye movement angle estimation approach, including signal acquisition, pre-processing, outlier removal and modeling, is proposed. The eye movement angle estimation model is a data-driven approach that using a non-linear polynomial method. It offers a simple, analytical, accurate, and cost-effective solution for real-time and large-space eye movement angle estimation. The feasibility of the proposed model was validated on a realistic scenario across 18 subjects. Experimental results show the horizontal estimation error in angle is less than 3.5°. Compared with most of the existing methods with high computational complexity, the proposed model can provide comparable results with less computational consumption cost in a large-space eye movement angle estimation. Meanwhile, the proposed model can be easily deployed in the embedded platform or mobile device with limited computing power and limited storage space for real-time eye movement angle estimation.

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Acknowledgment

This work was supported in part by Shanghai Municipal Science and Technology International R&D Collaboration Project (Grant No. 20510710500) in part by the National Natural Science Foundation of China under Grant No. 62001118, and in part by the Shanghai Committee of Science and Technology under Grant No. 20S31903900.

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Correspondence to Wei Chen .

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© 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Zhu, Y., Tao, L., Zeng, Z., Zhu, H., Chen, C., Chen, W. (2022). An Accurate and Cost-Effective Approach Towards Real-Time Eye Movement Angle Estimation. In: Gao, X., Jamalipour, A., Guo, L. (eds) Wireless Mobile Communication and Healthcare. MobiHealth 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 440. Springer, Cham. https://doi.org/10.1007/978-3-031-06368-8_10

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  • DOI: https://doi.org/10.1007/978-3-031-06368-8_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-06367-1

  • Online ISBN: 978-3-031-06368-8

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