Work

P3T: A Transformer Model for Enhancing Character Recognition Rates in P300 Speller Systems

Year: 2024

Type: conference-paper

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

DOI: 10.1109/ieeeconf60004.2024.10942979

Authors: Jiazhen Hong, Laleh Najafizadeh

Institution: Rutgers, The State University of New Jersey

Language: English

Topic: EEG and Brain-Computer Interfaces

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

Open Access status: closed

OpenAlex ID: W4409156554

FWCI: 4.79

Cites: 18

Cited by: 6

Related to: 10