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

Journal: PloS one
PMID: 39418283

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.

Authors

  • Bo Yu
    Department of Cardiology, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, China.
  • Lu Liu
    College of Pharmacy, Harbin Medical University, Harbin, China.
  • Ning Yang
    Department of Cardiology, Tianjin Chest Hospital, No 261, Taierzhuang South road, Jinnan district, Tianjin, 300222, China.
  • Lingzhi Zhao
    Purchasing Center, The Second Hospital of Jilin University, Changchun, Jilin, 130041, People's Republic of China.
  • Huang Wu
    Key Laboratory of Karst Georesources and Environment, Ministry of Education, Guizhou University, Guiyang, Guizhou, 550025, China.

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