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ArEEG_Words

Introduced by Hazem Darwish et al. in ArEEG_Words: Dataset for Envisioned Speech Recognition using EEG for Arabic Words28 Nov 2024 archive 2025-07-28

ArEEG_Words dataset is a novel EEG dataset recorded from 22 participants with mean age of 22 years (5 female, 17 male) using a 14-channel Emotiv Epoc X device. The participants were asked to be free from any effects on their nervous system, such as coffee, alcohol, cigarettes, and so 8 hours before recording. They were asked to stay calm in a clam room during imagining one of the 16 Arabic Words for 10 seconds. The words include 16 commonly used words such as up, down, left, and right. A total of 352 EEG recordings were collected, then each recording was divided into multiple 250ms signals, resulting in a total of 15,360 EEG signals.

Benchmarks archive 2025-07-28

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Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

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Tasks archive 2025-07-28

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License archive 2025-07-28

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Modalities archive 2025-07-28

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Languages archive 2025-07-28

Variants archive 2025-07-28

  • ArEEG_Words

1 variant name, as the archive lists them.

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