EEG Signal Analysis and Processing: Overview of Existing and Exciting Applications

The past decade has witnessed many significant advances in the use of physiological signals, and in EEG signals in particular, for human machine interfaces (HMI). The first part of this event offers a high level overview of various aspects of the EEG signal processing and analysis framework needed in support of emerging consumer-style and health care / well-being applications. The presentation introduces some theoretical concepts of how signal processing methods and tools can be sued to support novel applications with the system view emphasis on signal pre-processing and feature extraction. Emphasis is given on how these concepts can be applied in practical problems. Affective computing, in particular emotion recognition, is considered as a case study. Open research issues and future trends will be briefly discussed.

This event is a collaboration between Concordia University, University of Toronto, and University of Western Ontario.