Banca de QUALIFICAÇÃO: LEANDRO ABIDIAS DA SILVA SERAFIM

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
DISCENTE : LEANDRO ABIDIAS DA SILVA SERAFIM
DATA : 17/12/2021
HORA: 14:00
LOCAL: Remoto
TÍTULO:

Feature selection for emotion recognition through EEG signals

PÁGINAS: 37
GRANDE ÁREA: Engenharias
ÁREA: Engenharia Biomédica
SUBÁREA: Bioengenharia
ESPECIALIDADE: Processamento de Sinais Biológicos
RESUMO:

Emotion classification through EEG signals has attracted the attention of researchers in several fields, including those studying brain-computer interfaces. This work focus on feature selection necessary to achieve a good classification performance. We have already implemented the classic Principle Component Analysis (PCA) and the Maximum Relevance Minimum Redundance method (mRMR) . We proposed a modification on the Maximum Relevance Minimum Redundance method, applying it to EEG
signals without the need of a discretization step. We show how the proposed method significantly improves the classifiers performance when compared to the use of classical PCA. We also intend to study the Correlation-based Feature selection method (CFS) and compare its performance with the methods mentioned above.

MEMBROS DA BANCA:
Presidente - Interno ao Programa - 1544392 - ALINE DE OLIVEIRA NEVES PANAZIO
Membro Titular - Examinador(a) Interno ao Programa - 2334927 - ANDRE KAZUO TAKAHATA
Membro Titular - Examinador(a) Externo ao Programa - 3008017 - DENIS GUSTAVO FANTINATO
Membro Suplente - Examinador(a) Interno ao Programa - 1761105 - MURILO BELLEZONI LOIOLA