# siddhi5386/Emotion-Recognition-from-brain-EEG-signals-

<https://repo.masters-masters.com/en/repos/siddhi5386/Emotion-Recognition-from-brain-EEG-signals->

[Home](https://repo.masters-masters.com/en) › [siddhi5386](https://repo.masters-masters.com/en/owners/siddhi5386) › [Emotion-Recognition-from-brain-EEG-signals-](https://repo.masters-masters.com/en/repos/siddhi5386/Emotion-Recognition-from-brain-EEG-signals-)

siddhi5386/Emotion-Recognition-from-brain-EEG-signals- has 138 stars on GitHub. Its RepoMasters card: Prototype tier. Emotion recognition can be achieved by…

| Field | Value |
| --- | --- |
| Owner | [siddhi5386](https://repo.masters-masters.com/en/owners/siddhi5386) |
| Stars | 138 |
| Forks | 27 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2020 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [siddhi5386/Emotion-Recognition-from-brain-EEG-signals-](https://github.com/siddhi5386/Emotion-Recognition-from-brain-EEG-signals-) |

## Repository

Emotion recognition can be achieved by obtaining signals from the brain by EEG . This test records the activity of the brain in form of waves. We have used DEAP dataset on which we are classifying the emotion as valance, likeness/dislike, arousal, dominance. We have used LSTM and CNN classifier whi…

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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