Project title

EEG Signal classification using Deep Learning

Submitted to:

  • Dr. Arpit Bhardwaj
  • Divya Acharya

Submitted By:

  1. Ashish Shaji
  2. Priyanshu Dwivedi Panjala Sriram
  3. Rehan Ahmed Sayyad

Project Description

BCI is a useful instrument to support human communication, frequently implemented by using EEG. we are using deap dataset for emotion classification using CNN model . We are classifying 4 emotions such as arousal, valence, like/dislike and dominance . we are successfully classifying emotions with an accuracy of 82%.

Project Poster

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