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Generating an Integrated Musical Expression with a Brain–Computer Interface Takayuki Hamano Tomasz M. Rutkowski
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Document Date: 2014-06-02 03:06:33


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City

Istanbul / Daejeon / Berlin / Lyon / /

Company

Hardware EEG Electrodes (g.SAHARA) Software / The MiND Ensemble / SAHARA / Oxford University Press / International Journal / International Computer Music / EEG / iPads Software / worked using EEG / using EEG / /

Country

United States / Korea / /

Currency

USD / /

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Facility

University of Tsukuba / Tokyo University / Asia University / University of Tokyo / University of Tsukuba Life Science Center / /

IndustryTerm

Web Server Node.js Classifier MATLAB Synthesizer Max/MSP Visualizer Java / Possible solutions / external device / online implementation / classification algorithm / average energy / internet-enabled acoustic brain-computer music interface / Web Server Synthesizer Visualizer Surrounded Speakers Dual Projections / Web Server / large equipment / real-time musical performance system / /

MusicAlbum

MEG / /

MusicGroup

The MiND Ensemble / /

OperatingSystem

Windows 7 / /

Organization

University of Tsukuba / University of Tokyo / Asia University / University of the Arts / Tsukuba Life Science Center of TARA / Oxford University / /

Person

Alvin Lucier / David Rosenboom / Francois Nicolas Marquet / Tomasz M. Rutkowski Hiroko Terasawa / Ryu Nakagawa / Reiko Hoshi-Shiba / Takayuki Hamano Tomasz / /

Position

composer / player / flute teacher / author / data acquisition Brain Player / Speakers Clarinet Player Brain Player / Brain Player / clarinet player / musician / player and the player / famous composer / /

Product

MacBook Pro / iPad / iPads / MOBIlab+ / /

ProgrammingLanguage

MATLAB / Java / /

PublishedMedium

The Science / Computer Music Journal / /

Technology

alpha / neuroscience / machine learning / UDP / biofeedback / real-time musical performance system using BCI technology / Java / 5 Analysis methods The classification algorithm / bluetooth / MIDI / Web Server / /

URL

http /

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