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

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.