[Dataset] Add SEED Emotion EEG dataset
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Description
Dataset Information
- Name: SEED (SJTU Emotion EEG Dataset)
- Paradigm: Affective BCI / Emotion Recognition
- Number of Subjects: 15
- Electrodes: 62 Ag/AgCl electrodes
- Sampling Rate: 1000 Hz
- Data Link: http://bcmi.sjtu.edu.cn/home/seed/
Description
SJTU Emotion EEG Dataset (SEED) for emotion recognition. EEG signals were recorded with a sampling rate of 1,000 Hz and collected with 62 Ag/AgCl electrodes. The EEG amplifier used in the experiment was a BrainAmp (Brain Products; Munich, Germany).
Note: This dataset requires registration to download (marked "No" for direct download in the dataset tracking spreadsheet).
Related
This issue is a sub-issue of #1 (Discover new datasets)
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No implementation files or tests are named. Start by reviewing existing dataset integrations and the dataset tracking spreadsheet referenced in the issue, then inspect the SEED data link and its registration requirements. Done means the SEED dataset is added consistently with the project's existing dataset support and its access restriction is documented.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data, machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100