Using random forests for classifying motor imagery EEG

Research output: Contribution to conferencePoster

Abstract

One crucial issue for accurate sensorimotor rhythm (SMR) Brain- Computer Interfaces (BCIs) control is the selection of the most discriminative oscillatory EEG components. The Random Forests (RF) ensemble classifier is particularly interesting in this context.
Original languageEnglish
Publication statusPublished - Jan 2013
EventTOBI Workshop IV Practical Brain-Computer Interfaces for End-Users: Progress and Challenges - Sion, Switzerland
Duration: 23 Jan 201325 Jan 2013

Conference

ConferenceTOBI Workshop IV Practical Brain-Computer Interfaces for End-Users: Progress and Challenges
CitySion, Switzerland
Period23/01/1325/01/13

Fields of Expertise

  • Human- & Biotechnology

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