Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

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

Version 1 : Received: 29 April 2024 / Approved: 30 April 2024 / Online: 30 April 2024 (17:05:47 CEST)

How to cite: Tomé de la Torre, M. Á.; Álvarez Fernández-Balbuena, A.; Bernardez Vilaboa, R.; Vázquez Molini, D. Artificial Vision System on Digital Devices for Real-Time Head Tilt Control. Preprints 2024, 2024042005. https://doi.org/10.20944/preprints202404.2005.v1 Tomé de la Torre, M. Á.; Álvarez Fernández-Balbuena, A.; Bernardez Vilaboa, R.; Vázquez Molini, D. Artificial Vision System on Digital Devices for Real-Time Head Tilt Control. Preprints 2024, 2024042005. https://doi.org/10.20944/preprints202404.2005.v1

Abstract

In the last decades we have experienced great social, cultural, and educational changes, spending more time performing tasks in near vision and less hours in outdoor activities, having more overexposure to digital screens, especially the youngest and increasingly from younger ages. It is common to see cases when performing tasks in near vision the posture or position of the head is not adequate, especially the youngest, being essential to have a correct posture of the head to avoid visual, muscular, or articular problems. We present a procedure to try to control the correct position of the head in real time when performing close-up activities. The aim is to detect the inclination of the head and to know if a bad position is adopted due to a visual problem or simply to inadequate visio-postural habits, warning us of the postural anomaly to correct it.

Keywords

Accommodative anomalies; Binocular anomalies; Visio-postural control; Eyetracking; Image processing software; Algorithm; Artificial vision.

Subject

Public Health and Healthcare, Public Health and Health Services

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