Brain-Computer Music Interfaces

Wednesday, 3 December, 3:30pm

CNM Meeting Room, Level 3, AS6

Electroencephalogram (EEG) systems provide useful information about the brain activity of humans and are becoming increasingly available outside the medical domain.   Similar to the information provided by other physiological sensors, Brain-Computer Interfaces (BCI) information can be used as a source for interpreting a person’s emotions and intentions.  This talk focuses on the application of BCI as an intelligent sensor, similar to a microphone or camera, which can be used in the study of the inter-relationship between computer music systems, intentions and emotions.  In this talk, the speaker hopes discuss: How BCIs as intelligent sensors can be integrated into computer music systems?  What constitutes appropriate musical adaptation in response to physiological data?  How is the user experience of music interfaces enhanced through BCIs?

Rafael Ramirez is Associate Professor in Computer Science at the Pompeu Fabra University, Barcelona, Spain. He obtained his BSc in Mathematics from the National Autonomous University of Mexico, and his MSc in Artificial Intelligence and PhD in Computer Science from the University of Bristol, UK.  For five years, he worked at the Department of Computer Science at the School of Computing of the National University of Singapore, first as a postdoctoral researcher and then as a lecturer. His research interests include Artificial Intelligence, Machine Learning, Data Mining and their application to cognition, music technology, creative processes, and brain-computer Interfaces. He has published more than 100 research articles in peer-reviewed international Journals and Conferences.  He is chair and program committee member for several artificial intelligence and machine learning related conferences, as well as a reviewer for several international journals.  He has given invited seminars across Europe, Asia and America.