EEGEmotions-27 Dataset

EEGEmotions-27 is a dataset of raw EEG recordings collected during affective elicitation experiments. It contains data from 88 participants as they experienced 27 distinct emotional states while watching emotionally evocative video clips.

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📁 Dataset Structure

EEG Raw Data

• Location: eeg_raw/
• File Format: {Participant_ID}_{Emotion_ID}.0.txt
  • Example: 12_5.0.txt → Participant 12, Emotion 5 (Anger)
• Data Format: Plain text EEG time series (14 channels from Emotiv X headset, sampled at 256Hz)

Emotion ID Mapping

Emotion ID	Emotion
1	admiration
2	adoration
3	aesthetic
4	amusement
5	anger
6	anxiety
7	awes
8	awkwardness
9	boredom
10	calmness
11	confusion
12	craving
13	disgust
14	empathic pain
15	entrancement
16	excitement
17	fear
18	horror
19	interest
20	joy
21	nostalgia
22	relief
23	romance
24	sadness
25	satisfaction
26	sexual desire
27	surprised

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👤 Participant Information

• File: participants_info.csv
• Fields:
  • Participant ID
  • Gender:
    • 1 = Male
    • 2 = Female
  • Age:
    • 2 = 20s
    • 3 = 30s
    • 4 = 40s
    • 5 = 50s
    • 6 = 60s
  • Nation:
    • 1 = Korean
    • 2 = Vietnamese

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📌 Other Files

• emotivX_channels_location.ced → Electrode position file for Emotiv X EEG headset (14 channels).

• video_clips/ → Contains video stimuli used for emotion elicitation.

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📜 Citation

If you use this dataset in your research, please cite the following papers:

1. Survey Paper:

Phuong, H.T., Im, E.T., Oh, M.S., & Gim, G.Y. (2025). EEG-Based Emotion Recognition: A Review and Emerging Paths. IEEE Access, 13, 165037-165060. DOI: https://doi.org/10.1109/ACCESS.2025.3610918

@ARTICLE{11168214,
  author={Huy-Tung, Phuong and Eun-Tack, Im and Myeong-Seok, Oh and Gwang-Yong, Gim},
  journal={IEEE Access}, 
  title={EEG-Based Emotion Recognition: A Review and Emerging Paths}, 
  year={2025},
  volume={13},
  number={},
  pages={165037-165060}
}

2. Dataset Paper:

Phuong, H.T., Im, E.T., Oh, M.S., & Gim, G.Y. (2025). EEGEmotions-27: A Large-Scale EEG Dataset Annotated With 27 Fine-Grained Emotion Labels. IEEE Access, 13, 176915-176932. DOI: https://doi.org/10.1109/ACCESS.2025.3620677

@ARTICLE{11202184,
  author={Huy-Tung, Phuong and Eun-Tack, Im and Myeong-Seok, Oh and Gwang-Yong, Gim},
  journal={IEEE Access}, 
  title={EEGEmotions-27: A Large-Scale EEG Dataset Annotated With 27 Fine-Grained Emotion Labels}, 
  year={2025},
  volume={13},
  number={},
  pages={176915-176932}
}

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⚖️ License

This dataset is licensed under CC BY-NC 4.0 You are free to use, share, and adapt the data for non-commercial purposes, with proper attribution.

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📞 Contact

For questions or collaboration, please contact huytungst@gmail.com.