Work

Student Engagement Assessment in Classrooms Using a Novel 3D Eye-Gaze Estimation and Evaluation Algorithm

Year: 2024

Type: conference-paper

Source: 2018 52nd Asilomar Conference on Signals, Systems, and Computers

DOI: 10.1109/ieeeconf60004.2024.10942809

Authors: Matthew Korban, Jonathan McGee, Peter Youngs, Scott T. Acton

Institution: University of Virginia

Language: English

Topic: Gaze Tracking and Assistive Technology

Subfield: Human-Computer Interaction

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: closed

OpenAlex ID: W4409156673

FWCI:

Cites: 20

Cited by:

Related to: 10