Assessment of autostereoscopic perception using artificial intelligence-enhanced face tracking technology.

ABSTRACT:

Purpose

Stereopsis, the ability of humans to perceive depth through distinct visual stimuli in each eye, is foundational to autostereoscopic technology in computing. However, ensuring stable head position during assessments has been challenging. This study evaluated the utility of artificial intelligence (AI)-enhanced face tracking technology in overcoming this challenge by ensuring that each eye consistently receives its intended image.

Methods

The Lume Pad 2, an autostereoscopic tablet with AI-enhanced face tracking, was utilized to simulate quantitative parts of the Stereo Fly test and TNO Stereotests for contour and random dot stereopsis. The study recruited 30 children (14 males and 16 females, mean age of 9.2 ± 0.3 years, age range of 6-12 years) and 30 adults (10 male

SUBMITTER: Yu B 

PROVIDER: S-EPMC11486382 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature