Increasing information transfer rates for brain-computer interfacing [Elektronische Ressource] / von Guido Dornhege

Description

Increasing Information Transfer Ratesfor Brain-Computer InterfacingDissertationzur Erlangung des akademischen Gradesdoctor rerum naturalium? Dr. rer. nat. ?eingereicht an derMathematisch-Naturwissenschaftlichen Fakultat¤der Universitat¤ PotsdamvonGuido DornhegePotsdam, im Marz¤ 2006AbstractThe goal of a Brain-Computer Interface (BCI) consists of the development of a unidirec-tional interface between a human and a computer to allow control of a device only via brainsignals. While the BCI systems of almost all other groups require the user to be trainedover several weeks or even months, the group of Prof. Dr. Klaus-Robert Muller¤ in Berlinand Potsdam, which I belong to, was one of the rst research groups in this eld which usedmachine learning techniques on a large scale. The adaptivity of the processing system tothe individual brain patterns of the subject confers huge advantages for the user. Thus BCIresearch is considered a hot topic in machine learning and computer science. It requiresinterdisciplinary cooperation between disparate elds such as neuroscience, since only bycombining machine learning and signal processing techniques based on neurophysiologicalknowledge will the largest progress be made.In this work I particularly deal with my part of this project, which lies mainly in the area ofcomputer science.

Sujets

• Informatik
• Gesundheit

Informations

• Publié par: universitat_potsdam
• Publié le: 01 janvier 2006
• Nombre de lectures: 60
• Langue: English
• Poids de l'ouvrage: 3 Mo

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