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MLGaze: Machine Learning-Based Analysis of Gaze Error Patterns in Consumer Eye Tracking Systems

Analyzing the gaze accuracy characteristics of an eye tracker is a critical task as its gaze data is frequently affected by non-ideal operating conditions in various consumer eye tracking applications. In previous research on pattern analysis of gaze data, efforts were made to model human visual beh...

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Detalhes bibliográficos
Publicado no:Vision (Basel)
Autor principal: Kar, Anuradha
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI 2020
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7355841/
https://ncbi.nlm.nih.gov/pubmed/32392760
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/vision4020025
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