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Related Experiment Video

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Pupil and Glint Detection Using Wearable Camera Sensor and Near-Infrared LED Array.

Jianzhong Wang1, Guangyue Zhang2, Jiadong Shi3

  • 1School of Mechatronical Engineering, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing 100081, China. cwjzwang@bit.edu.cn.

Sensors (Basel, Switzerland)
|December 4, 2015
PubMed
Summary

This study introduces a new pupil and glint detection method for gaze tracking systems. The novel Circular Ring Rays Location (CRRL) method enhances accuracy and robustness, even with interference.

Keywords:
Gaussian fittingcircular ring rays locationglint detectionpupil detectiontotal least squares fittingwearable camera sensor

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Area of Science:

  • Computer Vision
  • Biomedical Engineering
  • Human-Computer Interaction

Background:

  • Gaze tracking systems are crucial for human-computer interaction and clinical diagnostics.
  • Accurate pupil and glint detection is fundamental for reliable gaze estimation.
  • Conventional methods struggle with interference from reflections and varying lighting conditions.

Purpose of the Study:

  • To propose a novel and robust method for pupil and glint detection in gaze tracking.
  • To improve the accuracy and stability of gaze tracking systems using wearable sensors.
  • To address challenges posed by interference factors like glints and natural light reflections.

Main Methods:

  • A novel Circular Ring Rays Location (CRRL) method for pupil boundary detection.
  • Utilized improved Otsu thresholding, morphological operations, and 3D histogram analysis for initial pupil estimation.
  • Employed a ray-casting approach within a defined ring area to collect boundary points and gradient amplitude for interference removal.
  • Applied an improved total least squares method for pupil boundary fitting and glint center calculation via Gaussian function deformation.

Main Results:

  • The proposed CRRL method demonstrates superior robustness and accuracy compared to conventional techniques.
  • Accurate detection of pupil boundaries and centers was achieved even with glints and natural light reflections on the pupil contour.
  • The method effectively eliminates interference points through gradient amplitude calculation.

Conclusions:

  • The novel pupil and glint detection method significantly enhances the stability, accuracy, and real-time performance of gaze tracking systems.
  • This approach offers a promising solution for reliable gaze estimation in diverse and challenging environments.
  • The CRRL method contributes to advancing the capabilities of wearable gaze tracking technology.