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A Deep Learning Approach for Nystagmus Recognition in RGB Videos

Year: 2025

Type: conference-paper

Source: IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)

DOI: 10.1109/metroxraine66377.2025.11340186

Authors: Giacomo Nunziati, Andrea Porri, Paolo Andreini, Simone Bonechi, Monica Bianchini, Rudi Pecci, Mattia Ronchetti, Franco Scarselli, Simone Vanni

Institutions: University of Siena, Azienda Ospedaliero-Universitaria Careggi, University of Florence

Language: English

Topic: Gaze Tracking and Assistive Technology

Subfield: Human-Computer Interaction

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funder: European Commission

Award: G5085657478

OpenAlex ID: W7125581767

FWCI:

Cites: 14

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