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In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
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Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language
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A new gaze estimation method considering external light.

Jong Man Lee1, Hyeon Chang Lee2, Su Yeong Gwon3

  • 1Division of Electronics and Electrical Engineering, Dongguk University, 26 Pil-dong 3-ga, Jung-gu, Seoul 100-715, Korea. jmlee1019@dongguk.edu.

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Summary
This summary is machine-generated.

This study introduces a new method to improve gaze tracking systems. It accurately identifies the correct corneal specular reflection (SR) even with interfering external lights, enhancing system robustness.

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Area of Science:

  • Biomedical Engineering
  • Computer Vision
  • Human-Computer Interaction

Background:

  • Gaze tracking systems commonly use near-infrared (NIR) light and cameras.
  • External light sources with NIR components can disrupt performance by creating false corneal specular reflections (SR).
  • Distinguishing true SR from imposter SR is challenging, impacting gaze tracking accuracy.

Purpose of the Study:

  • To develop a novel method for accurately identifying the correct corneal specular reflection (SR) in gaze tracking systems.
  • To enhance the robustness of gaze tracking systems against interference from external light sources.
  • To improve the reliability of gaze tracking by effectively discriminating between true and imposter SR.

Main Methods:

  • A new method was proposed to determine the correct corneal SR.
  • The method leverages the relationship between corneal SR and the pupil's movable area.
  • It analyzes the relative positions of the pupil and corneal SR to identify the true reflection.

Main Results:

  • The proposed method successfully differentiates the correct SR from imposter SR caused by external light.
  • Experimental results demonstrate that the gaze tracking system becomes robust to external light interference.
  • The system's performance is significantly improved in the presence of disruptive NIR components from external light sources.

Conclusions:

  • The developed method effectively overcomes the challenge of external light interference in gaze tracking.
  • This approach enhances the reliability and accuracy of gaze tracking systems.
  • The findings contribute to more robust and dependable eye-tracking technology.