Interpolation, a Model for Sound Representation Based on BCI.

Lecture Notes in Artificial Intelligence(2019)

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摘要
Brain state control has been well established in the area of Brain-computer interfaces over the last decades in which the active applications allow controlling external devices consciously. The purpose of this study was to develop a real-time graphical sound representation system based on an interaction design that allows navigating through the motor imagery cognitive task in a bidimensional plane. This representation was developed using the OpenBCI EEG acquisition system in order to record the necessary information which was sent and processed in Max/MSP software. The system operates under a metaphorical Graphical User Interface (GUI) programmed in Processing. The system was tested through an experiment under controlled conditions in which six professional musicians participated. From the experimental results, it was found that all participants achieved different control levels associated to their static and dynamic response with an average of 26.73% and 73.27% respectively.
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关键词
Brain-computer interface,Electroencephalogram,Motor imagery,Neurofeedback,Sound synthesis
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