题目:Affective brain-computer music interfacing

摘要: Music is a powerful method for modulating listeners emotions and is ubiquitous in society. Brain-computer music interfaces provide a method to modulate an individual’s affective state via the selection or generation of music according to either their current affective state or a target affective state. In this talk, he will introduce and discuss current being undertaken as part of the BCMI-MIdAS project (Brain-computer music interfacing for monitoring and inducing affective states). Specifically, a proposed design for a BCMI system will be introduced and a set of key research questions relating to its development and use will be discussed.

简介：Ian Daly received the M. Eng. degree in Computer science and the Ph.D. degree in Cybernetics from the University of Reading, Reading, U.K. Between May 2011 – 2013. He was a post-doctoral researcher in the Laboratory of Brain-Computer Interfaces, Graz University of Technology, Graz, Austria, where he researched Brain-computer interfaces (BCIs) for individuals with stroke and cerebral palsy. He is currently a post-doctoral researcher in the University of Reading.
  His research interests focus on BCIs, nonlinear dynamics, machine learning, signal processing, bio-signal analysis, meta-heuristic search techniques, and connectivity analysis in the EEG and fMRI. He is also interested in the neurophysiological correlates of motor control, emotion, and stimuli perception and how they differ between healthy individuals and individuals with neurological and physiological impairments.