# Arka95/Human-Emotion-Analysis-using-EEG-from-DEAP-dataset

<https://repo.masters-masters.com/en/repos/Arka95/Human-Emotion-Analysis-using-EEG-from-DEAP-dataset>

[Home](https://repo.masters-masters.com/en) › [Arka95](https://repo.masters-masters.com/en/owners/Arka95) › [Human-Emotion-Analysis-using-EEG-from-DEAP-dataset](https://repo.masters-masters.com/en/repos/Arka95/Human-Emotion-Analysis-using-EEG-from-DEAP-dataset)

Arka95/Human-Emotion-Analysis-using-EEG-from-DEAP-dataset has 133 stars on GitHub. Its RepoMasters card: Prototype tier. Processed the DEAP dataset on basis…

| Field | Value |
| --- | --- |
| Owner | [Arka95](https://repo.masters-masters.com/en/owners/Arka95) |
| Stars | 133 |
| Forks | 33 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2018 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [Arka95/Human-Emotion-Analysis-using-EEG-from-DEAP-dataset](https://github.com/Arka95/Human-Emotion-Analysis-using-EEG-from-DEAP-dataset) |

## Repository

Processed the DEAP dataset on basis of 1) PSD (power spectral density) and 2)DWT(discrete wavelet transform) features . Classifies the EEG ratings based on Arousl and Valence(high /Low)

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

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