Array, the journal of the International Computer Music Association
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ICMC 2011 Reviews
Get PDFAugust 1st: Concert 4: Patricia Alessandrini; Audiovisual Pieces: Andrew ConnorAugust 2nd: Audiovisual Pieces: Andrew ConnorAugust 3rd: Concert 8: John ffitch; Audiovisual Pieces: Andrew ConnorAugust 4th: Concert 9: Howard Kenty; Concert 10: Miriam Akkermann;Audiovisual Pieces: Andrew ConnorAugust 5th: Concert 12: Diego Garr
Beyond the Keyboard and Sequencer: Strategies for Interaction between Parametrically-Dense Motion Sensing Devices and Robotic Musical Instruments
Get PDFThe proliferation and ubiquity of sensor, actuator and microcontroller technology in recent years have propelled contemporary robotic musical instruments (RMIs) and digital music controllers to become more parametrically dense than their predecessors. Prior projects have focused on creating interaction strategies for relatively low degrees-of-freedom input and output schemes. Drawing upon prior research, this paper explores schemes for interaction between parametrically-dense motion-based control devices and contemporary parametrically-dense robotic musical instruments. The details of two interaction schemes are presented: those consisting of one-to-one control (allowing the actions of a performer to directly affect an instrument) and those consisting of a recognition system wherein user-created gestures result in output patterns from the robotic musical instrument. The implementation of the interaction schemes is described, and a performance utilizing these schemes is presented
Brain-Computer Music Interface for Music Expression
Get PDFActive music listening is a way of listening to music through active interactions. In this paper we present an expressive brain-computer interactive music system for active music listening, which allows listeners to manipulate expressive parameters in music performances using their emotional state, as detected by a brain-computer interface. The proposed system is divided in two parts: a real-time system able to detect listeners’ emotional state from their EEG data, and a real-time expressive music performance system capable of adapting the expressive parameters of music based on the detected listeners’ emotion. We comment on an application of our system as a music neurofeedback system to alleviate depression in elderly people
Conversation I: Muyassar Kurdi & Verónica Mota
No full textSound & Performance asProtest: A Conversationwith Muyassar Kurdi andVerónica Mot
