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