EEG Feature Extraction for Person Identification Using Wavelet Decomposition and Multi-Objective Flower Pollination Algorithm

Autor(es)

Alyasseri, Zaid Abdi Alkareem ^{[1, 2]} ; Khader, Ahamad Tajudin ^[1] ; Al-Betar, Mohammed Azmi ^[3] ; Papa, Joao P. ^[4] ; Alomari, Osama Ahmad ^[1]

Afiliação do(s) autor(es)

^[1] Univ Sains Malaysia, Sch Comp Sci, George Town 11800 - Malaysia

^[2] Univ Kufa, ECE Dept, Fac Engn, Najaf - Iraq

^[3] Al Balqa Appl Univ, Dept Informat Technol, Al Huson Univ Coll, Irbid - Jordan

^[4] Sao Paulo State Univ, Dept Comp, BR-13084971 Bauru - Brazil

• Tipo de documento: Artigo Científico
• Fonte: IEEE ACCESS; v. 6, p. 76007-76024, 2018.
• Citações Web of Science: 4

Resumo

In the modern life, the authentication technique for any system is considered as one of the most important and challenging tasks. Therefore, many researchers have developed traditional authentication systems to deal with our digital society. Recently, several studies showed that the brain electrical activity or electroencephalogram (EEG) signals could provide robust and unique features that can be considered as a new biometric authentication technique, given that accurate methods to decompose the signals must also be considered. This paper proposes a novel method for extracting EEG features using multi-objective flower pollination algorithm and the wavelet transform. The proposed method was applied in two scenarios for EEG signal decomposition to extract unique features from the original signals. Moreover, the proposed method is compared with the state-of-the-art techniques using different criteria with promising results. (AU)

• Processo FAPESP: 13/07375-0 - CeMEAI - Centro de Ciências Matemáticas Aplicadas à Indústria
• Beneficiário: Francisco Louzada Neto
• Modalidade de apoio: Auxílio à Pesquisa - Centros de Pesquisa, Inovação e Difusão - CEPIDs
• Processo FAPESP: 14/12236-1 - AnImaLS: Anotação de Imagem em Larga Escala: o que máquinas e especialistas podem aprender interagindo?
• Beneficiário: Alexandre Xavier Falcão
• Modalidade de apoio: Auxílio à Pesquisa - Temático
• Processo FAPESP: 16/19403-6 - Modelos de aprendizado baseados em energia e suas aplicações
• Beneficiário: João Paulo Papa
• Modalidade de apoio: Auxílio à Pesquisa - Regular