Project title
EEG Signal classification using Deep Learning
Submitted to:
- Dr. Arpit Bhardwaj
- Divya Acharya
Submitted By:
- Ashish Shaji
- Priyanshu Dwivedi Panjala Sriram
- 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
