NCT07642999

Longitudinal Measurements of Visual Diet in Children

Recruiting
Not specifiedAges 7–12Observational
State University of New York College of Optometry
~60 participants
Updated 2026-06-11 on ClinicalTrials.gov

At a glance

Recruiting sites
1 of 1 listed site is recruiting right now
RecruitingSuspended, closed, or not yet open
What they're measuring
Refractive error (D)
Measured over From enrollment to the end of the 3-year study, every 6 months
+6 more outcomes measured
Myopia
Visual Diet
Pupil
Viewing Distance
Illuminance
Wavelength
Vergence
Accommodative Facility
1 sites across 1 states
New York1
  • Xiaoying Zhu, OD, PhD, MD, MS, FAAO · PRINCIPAL_INVESTIGATOR · State University of New York College of Optometry
Xiaoying Zhu, OD, PhD, MD, MS, FAAO
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Eligibility criteria

Inclusion

Age: 7-12 years old (inclusive)
Astigmatism of \< 1.50D
Stereopsis equal or better 100 seconds of arc
Normal binocular functions.

Exclusion

History of refractive surgery or myopia control
Binocular abnormalities
Ocular and systemic pathologies
Developmental delay
Unable to wear the VEET at home for 8 days every 6 months for 3 years
Pre-term birth (\< 34 weeks of gestational age).
  • Refractive error (D)From enrollment to the end of the 3-year study, every 6 months

    Measured with an autorefractor

  • Axial length (mm)From enrollment to the end of the 3-year study, every 6 months

    Measured with a biometer

  • Viewing distance (cm)From enrollment to the end of the 3-year study, every 6 months

    Measured using the Visual Environment Evaluation Tool (VEET). VEET contains multiple time-of-flight (ToF) infrared sensors embedded in the temple arms of the glasses.The sensors emit infrared light toward objects in front of the wearer. The device measures the time required for the reflected infrared light to return to the sensor. Using the speed of light, the system calculates the distance between the eye/glasses and the viewed object.

  • Illuminance (lux)From enrollment to the end of the 3-year study, every 6 months

    Measured with the Visual Environment Evaluation Tool (VEET). VEET uses photometric light sensors that detect the light intensity. The sensors convert incoming light into electrical signals proportional to brightness, and the device reports illuminance in lux, the standard unit for light exposure.

  • Wavelength of the environmental light (nm)From enrollment to the end of the 3-year study, every 6 months

    Measured with the Visual Environment Evaluation Tool (VEET). The VEET measures light wavelength using integrated spectral light sensors that analyze the composition of incoming light across different portions of the visible spectrum. Rather than only measuring brightness (illuminance), the device also characterizes the spectral distribution of light reaching the wearer.

  • Eye vergence (degree)From enrollment to the end of the 3-year study, every 6 months

    Using an eye tracker (Pupil Labs). Pupil Labs eye trackers measure eye vergence by tracking the gaze direction of both eyes separately and then calculating the angle between the two visual axes. Vergence refers to the inward or outward rotation of the eyes when focusing at different viewing distances: Convergence → eyes rotate inward for near targets Divergence → eyes rotate outward for distant targets Pupil Labs estimates vergence using these steps: 1. Track each eye independently 2. Estimate each eye's gaze vector in 3D 3. Compute where the two gaze vectors intersect 4. Calculate the vergence angle between them

  • Pupil size (mm)From enrollment to the end of the 3-year study, every 6 months

    Using an eye tracker (Pupil Labs). Eye trackers measure pupil size using infrared video imaging and computer vision algorithms that detect the pupil boundary in images captured by eye-facing cameras. The eye tracker shines infrared (IR) light onto the eye using tiny IR LEDs. Infrared light is invisible to the user and produces stable illumination conditions for imaging the pupil. Small cameras pointed at the eyes continuously record high-speed grayscale images of the eye. The pupil appears darker than surrounding structures when using the "dark pupil" technique commonly used in wearable eye trackers. Finally, computer vision algorithms analyze each frame to locate the pupil region, identify the pupil edge, and fit a geometric shape to detect the pupil size in mm.