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Validation of an Automated Scoring Algorithm That Assesses Eye Exploration in a 3-Dimensional Virtual Reality Environment Using Eye-Tracking Sensors

Eye-tracking studies in virtual reality (VR) deliver insights into behavioral function. The gold standard of evaluating gaze behavior is based on manual scoring, which is labor-intensive. Previously proposed automated eye-tracking algorithms for VR head mount display (HMD) were not validated against...

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Bibliografische gegevens
Hoofdauteurs: Or Koren, Anais Di Via Ioschpe, Meytal Wilf, Bailasan Dahly, Ramit Ravona-Springer, Meir Plotnik
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: MDPI AG 2025-05-01
Reeks:Sensors
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Online toegang:https://www.mdpi.com/1424-8220/25/11/3331
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