Please use this identifier to cite or link to this item:
Type: Artigo de evento
Title: An Implementation Of Ssvep-bci System Based On A Cluster Measure For Feature Selection
Author: Suarez L.
Cardozo E.
Attux R.
Soriano D.
Abstract: The main objective of a brain-computer interface (BCI) is to create alternative communication channels between the brain and a machine using information from cerebral responses. Among the possible paradigms to design a BCI system, this work focuses on Steady-State Visually Evoked Potentials (SSVEP). SSVEP are brain responses synchronized with fast repetitive external visual stimuli. The SSVEP-BCI system is able to meet many of the requirements of a strict BCI, but still needs to reduce the influence of noise on the Electroencephalogram (EEG) signal in order to improve its performance. In this paper, a novel SSVEP-BCI system is presented and analyzed in detail. The system is based on three pillars: spectrum estimation, systematic feature selection-for which different heuristics were proposed here-, and linear classification. © 2014 IEEE.
Editor: IEEE Computer Society
Citation: Issnip Biosignals And Biorobotics Conference, Brc. Ieee Computer Society, v. , n. , p. - , 2014.
Rights: fechado
Identifier DOI: 10.1109/BRC.2014.6880994
Date Issue: 2014
Appears in Collections:Unicamp - Artigos e Outros Documentos

Files in This Item:
File Description SizeFormat 
2-s2.0-84906748298.pdf698.43 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.