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Artificial Vision System on Digital Devices for Real-Time Head Tilt Control.

Miguel Ángel Tomé de la Torre1, Antonio Álvarez Fernández-Balbuena2, Ricardo Bernárdez-Vilaboa1

  • 1Optics II (Optometry and Vision), Faculty of Optics and Optometry, Complutense University, 28037 Madrid, Spain.

Sensors (Basel, Switzerland)
|June 27, 2024
PubMed
Summary
This summary is machine-generated.

This study validates a new eye-tracking system to monitor head posture during digital screen use. The affordable, software-based solution alerts users to poor head positioning, preventing potential visual and musculoskeletal issues.

Keywords:
accommodative anomaliesalgorithmartificial visionbinocular anomalieseye trackingimage processing softwarevisio-postural control

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Area of Science:

  • Ophthalmology
  • Ergonomics
  • Human-Computer Interaction

Background:

  • Inadequate head posture during digital screen tasks is common, especially in young people.
  • Poor head positioning can lead to visual, muscular, and joint problems.
  • Existing head inclination monitoring systems often require external head-mounted devices.

Purpose of the Study:

  • To validate a novel eye-tracking procedure for real-time head inclination control.
  • To assess the system's ability to detect and alert users to inadequate head posture.
  • To provide an accessible and inexpensive solution for monitoring visual-postural habits.

Main Methods:

  • Development of a detection algorithm and eye-tracking software for digital devices.
  • Evaluation of the system across varied interpupillary distances and working distances.
  • Testing under different lighting conditions to assess pupil detection accuracy.

Main Results:

  • The system demonstrated favorable evaluation across diverse conditions, including varying lighting and subject parameters.
  • Good absolute and relative reliability values were found for measuring head tilt.
  • The system achieved lower accuracy than some existing methods but is significantly more affordable.

Conclusions:

  • The validated eye-tracking system offers an inexpensive and accessible method for real-time head tilt monitoring.
  • This is the first application to measure head tilt at working/reading distances using eye tracking.
  • The system can identify poor head posture related to visual or postural habits, enabling timely correction.