Brain Computer Interface: Deep Learning Approach to Predict Human Emotion Recognition

Author:

Ardito Carmelo1,Bortone Ilaria2,Colafiglio Tommaso1,Noia Tommaso Di1,Sciascio Eugenio Di1,Lofu Domenico1,Narducci Fedelucio1,Sardone Rodolfo3,Sorino Paolo1

Affiliation:

1. Politecnico di Bari,Dept. of Electrical and Information Engineering (DEI),Bari,Italy

2. Innovation, Marketing & Technology (IMT Lab), Exprivia SpA,Molfetta,Italy

3. Data Sciences and Innovation N.I of Gastroenterology “S. de Bellis”,Castellana Grotte,Italy

Publisher

IEEE

Reference39 articles.

1. Recognizing emotions from EEG subbands using wavelet analysis

2. Adam: A method for stochastic optimization;kingma;arXiv preprint arXiv 1412 6980,2014

3. Measuring emotion: The self-assessment manikin and the semantic differential

4. 10-20 system eeg placement;morley;European Respiratory Society European Respiratory Society Lausanne Brussels and Sheffield,2016

5. Idea: Intellect database for emotion analysis using eeg signal;joshi;Journal of King Saud University-Computer and Information Sciences,2020

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