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Analysis of classifiers for SSVEP-based brain computer interfaces

Grant number: 14/27255-1
Support type:Scholarships in Brazil - Scientific Initiation
Effective date (Start): March 01, 2015
Effective date (End): December 31, 2015
Field of knowledge:Engineering - Electrical Engineering - Telecommunications
Principal researcher:Romis Ribeiro de Faissol Attux
Grantee:George Gondim Ribeiro
Home Institution: Faculdade de Engenharia Elétrica e de Computação (FEEC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil

Abstract

Brain-computer interfaces (BCIs) are systems capable of allowing a user, by means of the analysis of its brain patterns, the transmission of commands to a machine without using conventional biological paths (nerves, muscles, articulations). The development of this technology will engender important changes in the access to modern information technology, both to the general public and to people with special needs. In this project, we will analyze the performance of a support-vector machine classifier, which belongs to the state of the art in machine learning, in BCI tasks related to SSVEP. The proposals will be validated using the DESTINE project database, built in accordance with the norms of the UNICAMP Ethics Committee.

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