Work

Electrooculogram identification from eye movement based on FIR system

Year: 2016

Type: conference-paper

Source: Biomedical Engineering International Conference

DOI: 10.1109/bmeicon.2016.7859614

Authors: T. Puttasakul, K. Archawut, T. Matsuura, P. Thumwarin, S. Airphaiboon

Institutions: Rangsit University, King Mongkut's Institute of Technology Ladkrabang

Language: English

Topic: Gaze Tracking and Assistive Technology

Subfield: Human-Computer Interaction

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: Rangsit University

OpenAlex ID: W2590901765

FWCI:

Cites: 6

Cited by: 2

Related to: 10