Abstract

The project studies the use of MEG and EEG signals based Brain Computer Interfaces (BCIs) in the communication between human and machine. The BCIs try to recognize mental tasks from the signals and associate them to simple commands. The project studies the human part in the mutual learning process and tries to determine the dynamics in brain-activity during tasks, the localization in the cortex of tasks and their correlations. The research also tries to detect classification errors immediately and achieve a high communication rate. A third issue is to keep the brain interface constantly tuned to its owner, e.g., the interface should adapt online to the user.

Keywords: brain-computer interface, brain imaging, statistical modelling, real-time signal processing, EEG, MEG

Web page: http://www.lce.hut.fi/research/bci/

Site visit: 12 May 2003, 29 October 2004

Press release in Finnish: 25 February 2005

Contact information and coordinator

Academy Professor Mikko Sams, Helsinki University of Technology