# JDA

**Repository Path**: dalerxli/JDA

## Basic Information

- **Project Name**: JDA
- **Description**: 情绪识别 隐含表示的迁移学习 Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 1
- **Created**: 2021-03-04
- **Last Updated**: 2022-03-01

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# JDA
This is a tensorflow implementation of the paper *[Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity](https://ieeexplore.ieee.org/abstract/document/8882370)*

This work is based on *[DANN](https://arxiv.org/abs/1409.7495)* and *[associative domain adaptation](http://openaccess.thecvf.com/content_iccv_2017/html/Haeusser_Associative_Domain_Adaptation_ICCV_2017_paper.html)*. 
See https://github.com/pumpikano/tf-dann/blob/master/utils.py and https://github.com/haeusser/learning_by_association .

#### Environment
- Tensorflow 1.4.1
- Python 2.7

#### Network Structure

![](/pic/JDA_network.png)

#### Data

*SEED* dataset and *DEAP* dataset of emotion EEG dataset. 

You should change the data dir variable in `utils.py` to your data path.