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DSE-TAM: EEG-based Emotion Recognition via Spatiotemporal Dynamic Representations

Architecture

Architecture

Environment

All models were trained and tested by a single GPU, Nvidia GeForce RTX 3090 (Driver 530.41.03, CUDA 12.1) on Ubuntu 22.04.2 LTS. The main following packages are required:

Models

These models compared with DES-TAM and unitized in the source code are listed below.

Datasets

Prepare dataset:

Acknowledgement

Some of the source code originates from IJCNN, PR-PL, and ACRNN (PyTorch).

We extend our sincere gratitude to the authors of the aforementioned code for their valuable contributions.

Citation

If you find our work useful, please consider citing our paper:

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If you find our code and dataset useful, we will be appreciate if you can give our repository a ⭐.

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