ArEEG_Chars

Published: 1 November 2024| Version 1 | DOI: 10.17632/f2bgr7tdtt.1
Contributors:
Abdalrahman Almalah, Hazem Darwish, Khloud Al Jallad, Nada Ghneim

Description

ArEEG_Chars, the first EEG dataset for Arabic characters, consists of high-quality recordings for 31 unique characters from 30 participants (21 males and 9 females) using the Epoc X 14-channel device. Each participant was asked to focus on all Arabic letters for 10-second segments each. Each Folder is named after the letter and it contains 30 CSV file of wave records.

Files

Institutions

Arab International University

Categories

Artificial Intelligence, Electroencephalography, Arabic Language, Neurocytology, Brain-Computer Interface

Licence