Work

Saccade Landing Point Prediction

Year: 2018

Type: conference-paper

Source: International Conference on Machine Learning Technologies (ICMLT)

DOI: 10.1145/3231884.3231890

Authors: Aythami Morales, Francisco M. Costela, Ruben Tolosana, Russell L. Woods

Institutions: Massachusetts Eye and Ear Infirmary, Universidad Autónoma de Madrid, Harvard University

Language: English

Topic: Gaze Tracking and Assistive Technology

Subfield: Human-Computer Interaction

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W2889474212

FWCI: 1.209

Cites: 28

Cited by: 11

Related to: 10