ArEEG_Chars: Dataset for Envisioned Speech Recognition using EEG for Arabic Characters

Autor:	Darwish, Hazem, Malah, Abdalrahman Al, Jallad, Khloud Al, Ghneim, Nada
Rok vydání:	2024
Předmět:	Computer Science - Human-Computer Interaction Computer Science - Computation and Language Computer Science - Machine Learning Electrical Engineering and Systems Science - Signal Processing
Druh dokumentu:	Working Paper
Popis:	Brain-Computer-Interface (BCI) has been a hot research topic in the last few years that could help paralyzed people in their lives. Several researches were done to classify electroencephalography (EEG) signals automatically into English characters and words. Arabic language is one of the most used languages around the world. However, to the best of our knowledge, there is no dataset for Arabic characters EEG signals. In this paper, we have created an EEG dataset for Arabic characters and named it ArEEG_Chars. Moreover, several experiments were done on ArEEG_Chars using deep learning. Best results were achieved using LSTM and reached an accuracy of 97%. ArEEG_Chars dataset will be public for researchers.
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2402.15733 Zobrazit plný text záznamu View this record from Arxiv