Datasets:

kwonjoon
/

Revisiting-Your-Memory

license: cc-by-nc-4.0
language:
  - en
  - ko
pretty_name: Revisiting Your Memory (EEG-AffectiveMemory dataset)
size_categories:
  - n<1K
task_categories:
  - other
tags:
  - eeg
  - affective-computing
  - memory
  - brain-decoding
  - audio-visual-generation

Revisiting Your Memory: Reconstruction of Affect-Contextualized Memory via EEG-guided Audiovisual Generation

ACM Multimedia 2025 CogMAEC Workshop (Oral)

Joonwoo Kwon*, Heehwan Wang*, Jinwoo Lee*, Sooyoung Kim*, Shinjae Yoo, Yuewei Lin, Jiook Cha

_{* equal contribution}

💻 Code on GitHub: github.com/kwxnjoon/Revisiting-Your-Memory | 📄 Paper: arXiv 2412.05296

EEG-AffectiveMemory pairs EEG recordings during autobiographical memory recall with the memory's text description, a sketch, an associated musical piece and the participant's affect ratings. It supports the RevisitAffectiveMemory task, which reconstructs affect-contextualized audio-visual memories from EEG. This page holds the data. Code and the pretrained affect extractor are on GitHub.

Participants	Modalities	Size
10	EEG (raw + preprocessed), text, sketch, music link, affect	about 0.9 GB

Method

Files

Path	Content
`sub-XX/raw/`	Raw EEG of the baseline (`base`) and memory-recall (`task`) sessions (`.edf`, `.easy`, `.nedf`, `.info`)
`sub-XX/pped/`	Preprocessed EEG, three steps (EEGLAB `.set` / `.fdt`)
`sub-XX/cebra_input/`	Normalized input of the affect extractor (`.csv`)
`sub-XX/sub-XX-decoded-matrix.csv`	Decoded affect trajectory
`sub-XX/sub-XX-sketch.PNG`	Sketch of the recalled memory
`sub-XX/sub-XX-text.txt`	Memory description and the title and link of the associated musical piece (Korean)
`text_descriptions.xlsx`	All memory descriptions in one table

The musical pieces are not included because of copyright. Their titles and links are in sub-XX-text.txt.

Quick start

1. Download the data

hf download kwonjoon/Revisiting-Your-Memory --repo-type dataset --local-dir EEG_AffectiveMemory_dataset

2. Get the code

git clone https://github.com/kwxnjoon/Revisiting-Your-Memory.git

Place the downloaded folder at Revisiting-Your-Memory/EEG_AffectiveMemory_dataset/.

3. Run

Affect extraction: CEBRA(Affect_Extractor)/ (pretrained model included in the GitHub repository).
Image and video generation: image_video_decoding.ipynb.
Music generation: put the melody at sub-XX/sub-XX-melody.wav, then run music_generation.ipynb.

License

Data under CC BY-NC 4.0 (non-commercial). The data come from human participants. Use them for research only and do not attempt to identify participants.

Citation

@inproceedings{kwon2025revisiting,
  title     = {Revisiting Your Memory: Reconstruction of Affect-Contextualized Memory via EEG-guided Audiovisual Generation},
  author    = {Kwon, Joonwoo and Wang, Heehwan and Lee, Jinwoo and Kim, Sooyoung and Yoo, Shinjae and Lin, Yuewei and Cha, Jiook},
  booktitle = {Proceedings of the 1st International Workshop on Cognition-oriented Multimodal Affective and Empathetic Computing},
  pages     = {1--10},
  year      = {2025}
}