---
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
---

<div align="center">

<h1>Revisiting Your Memory: Reconstruction of Affect-Contextualized Memory via EEG-guided Audiovisual Generation</h1>

**ACM Multimedia 2025 CogMAEC Workshop (Oral)**

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

<sub>* equal contribution</sub>

<img src="assets/divider.png" width="100%" height="4">

### 💻 Code on GitHub: [github.com/kwxnjoon/Revisiting-Your-Memory](https://github.com/kwxnjoon/Revisiting-Your-Memory) &nbsp;|&nbsp; 📄 Paper: [arXiv 2412.05296](https://arxiv.org/abs/2412.05296)

</div>

<p align="center"><img src="assets/fig1.png" width="100%"></p>

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 |

<img src="assets/divider.png" width="100%" height="4">

## Method

<p align="center"><img src="assets/fig2.png" width="100%"></p>

<img src="assets/divider.png" width="100%" height="4">

## 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`.

<img src="assets/divider.png" width="100%" height="4">

## Quick start

### 1. Download the data

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

### 2. Get the code

```bash
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`.

<img src="assets/divider.png" width="100%" height="4">

## 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.

<img src="assets/divider.png" width="100%" height="4">

## Citation

```bibtex
@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}
}
```