Guerreiro, Ana Maria GuimarãesBarbosa, André Freitas2014-12-172013-01-082014-12-172012-02-24BARBOSA, André Freitas. Um sistema inteligente de classificação de sinais de EEG para Interface Cérebro-Computador. 2012. 52 f. Dissertação (Mestrado em Automação e Sistemas; Engenharia de Computação; Telecomunicações) - Universidade Federal do Rio Grande do Norte, Natal, 2012.https://repositorio.ufrn.br/jspui/handle/123456789/15432The Brain-Computer Interfaces (BCI) have as main purpose to establish a communication path with the central nervous system (CNS) independently from the standard pathway (nervous, muscles), aiming to control a device. The main objective of the current research is to develop an off-line BCI that separates the different EEG patterns resulting from strictly mental tasks performed by an experimental subject, comparing the effectiveness of different signal-preprocessing approaches. We also tested different classification approaches: all versus all, one versus one and a hierarchic classification approach. No preprocessing techniques were found able to improve the system performance. Furthermore, the hierarchic approach proved to be capable to produce results above the expected by literatureapplication/pdfAcesso Abertointerface cérebro-computadorEEGclassificação de padrõesPCAICAbrain-computer interfacesEEGpattern classificationPCAICAmasterThesisCNPQ::ENGENHARIAS::ENGENHARIA ELETRICA