Browsing University of Waterloo by Subject "Motor Imagery"
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Fast Recognition of BCI-Inefficient Users Using Physiological Features from EEG Signals: A Screening Study of Stroke Patients
(Frontiers, 2018-02-21)Motor imagery (MI) based brain-computer interface (BCI) has been developed as an alternative therapy for stroke rehabilitation. However, experimental evidence demonstrates that a significant portion (10% to 50%) of subjects ... -
Using Temporal Evidence and Fusion of Time-Frequency Features for Brain-Computer Interfacing
(University of Waterloo, 2005)Brain-computer interfacing (BCI) is a new method of human-machine interaction. It involves the extraction of information from the electroencephalogram (EEG) through signal processing and pattern recognition. The ...