Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Theranostic strategies in prostate cancer: Advances in PSMA PET imaging and radioligand therapy.

Cancer treatment and research communications·2026
Same author

A Sub-Milliwatt Graphene-Based Thermal Conductivity Detector for On-Site Gas Analysis.

Sensors (Basel, Switzerland)·2026
Same author

Metabolic Reprogramming Coordinates Mannose and Glutamine Metabolism to Maintain Glucose Homeostasis During Glycosuria.

bioRxiv : the preprint server for biology·2026
Same author

A MEMS Microbolometer-Based ATR Mid-Infrared Sensor for Direct Dissolved CO<sub>2</sub> Detection and UV-Induced Sediment Carbon Assay in Aquatic Environments.

Sensors (Basel, Switzerland)·2026
Same author

Managing Rectal Adenocarcinoma in a Radiation-Exposed Patient: A Case Report Utilizing the PROSPECT Trial Protocol.

Cureus·2026
Same author

Prevalence of Gastrointestinal Parasitic Infections in Captive Snakes, Bangladesh.

Veterinary medicine and science·2026

Related Experiment Video

Updated: Oct 16, 2025

How to Build a Dichoptic Presentation System That Includes an Eye Tracker
05:48

How to Build a Dichoptic Presentation System That Includes an Eye Tracker

Published on: September 6, 2017

8.7K

A Low-Profile Digital Eye-Tracking Oculometer for Smart Eyeglasses.

Alexander S Mastrangelo1, Mohit Karkhanis1, Rugved Likhite1

  • 1Electrical and Computer Engineering Department, University of Utah, Salt Lake City, Utah, USA.

Conference on Human System Interactions : [Proceedings]. International Conference on Human System Interaction
|October 22, 2021
PubMed
Summary

This study introduces a new low-power digital eye tracker for smart eyeglasses. This infrared sclera tracking system offers a lightweight, power-efficient solution for advanced wearable applications.

Keywords:
Mobile deviceseye trackinghealth sensorsolder adults

More Related Videos

Eye-tracking to Distinguish Comprehension-based and Oculomotor-based Regressive Eye Movements During Reading
05:54

Eye-tracking to Distinguish Comprehension-based and Oculomotor-based Regressive Eye Movements During Reading

Published on: October 18, 2018

6.4K
VisualEyes: A Modular Software System for Oculomotor Experimentation
10:41

VisualEyes: A Modular Software System for Oculomotor Experimentation

Published on: March 25, 2011

12.9K

Related Experiment Videos

Last Updated: Oct 16, 2025

How to Build a Dichoptic Presentation System That Includes an Eye Tracker
05:48

How to Build a Dichoptic Presentation System That Includes an Eye Tracker

Published on: September 6, 2017

8.7K
Eye-tracking to Distinguish Comprehension-based and Oculomotor-based Regressive Eye Movements During Reading
05:54

Eye-tracking to Distinguish Comprehension-based and Oculomotor-based Regressive Eye Movements During Reading

Published on: October 18, 2018

6.4K
VisualEyes: A Modular Software System for Oculomotor Experimentation
10:41

VisualEyes: A Modular Software System for Oculomotor Experimentation

Published on: March 25, 2011

12.9K

Area of Science:

  • Biomedical Engineering
  • Ophthalmology
  • Human-Computer Interaction

Background:

  • Current mobile eye trackers use power-intensive video processing.
  • Existing methods are unsuitable for lightweight wearables like adaptive smart eyeglasses.
  • Presbyopia correction requires unobtrusive, low-power eye-tracking technology.

Purpose of the Study:

  • To develop a low-profile, low-power digital eye tracker (oculometer).
  • To enable advanced functionalities in adaptive smart eyeglasses.
  • To overcome the limitations of current infrared imaging-based eye trackers.

Main Methods:

  • Developed an infrared sclera tracking system.
  • Utilized eight 24-bit infrared proximity sensors and synchronous infrared LEDs.
  • Determined pupil location using 32 reflected pulsed light measurements, independent of ambient light.

Main Results:

  • Achieved a low power consumption of 7.7 mJ/sample.
  • The digital oculometer has a thickness of 3.1 mm and weighs approximately 3 g.
  • Demonstrated a pointing error of 1.3 degrees RMS over a 30-degree range.

Conclusions:

  • The novel infrared sclera tracking system is suitable for lightweight wearables.
  • This technology facilitates the development of adaptive smart eyeglasses.
  • Offers a significant advancement in low-power, unobtrusive eye-tracking solutions.