Work

Application of Unsupervised Learning for Eye-Tracking Signals Analysis

Year: 2025

Type: conference-paper

Study design: Observational Study

Source: Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT)

DOI: 10.1109/usbereit65494.2025.11054104

Authors: Sergey N. Chistiakov, Anton Yu. Dolganov, Marina A. Shurupova, Alina D. Aizenshtein, Galina Ivanova

Institutions: Ural Federal University, Federal Medical-Biological Agency

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: Russian Science Foundation

OpenAlex ID: W4411950319

FWCI:

Cites: 15

Cited by:

Related to: 10