Using random forests for classifying motor imagery EEG

Publikation: KonferenzbeitragPosterForschung

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.
Originalspracheenglisch
PublikationsstatusVeröffentlicht - Jan 2013
VeranstaltungTOBI Workshop IV Practical Brain-Computer Interfaces for End-Users: Progress and Challenges - Sion, Switzerland
Dauer: 23 Jan 201325 Jan 2013

Konferenz

KonferenzTOBI Workshop IV Practical Brain-Computer Interfaces for End-Users: Progress and Challenges
OrtSion, Switzerland
Zeitraum23/01/1325/01/13

    Fingerprint

Fields of Expertise

  • Human- & Biotechnology

Dieses zitieren

Steyrl, D., Scherer, R., & Müller-Putz, G. (2013). Using random forests for classifying motor imagery EEG. Postersitzung präsentiert bei TOBI Workshop IV Practical Brain-Computer Interfaces for End-Users: Progress and Challenges, Sion, Switzerland, .