New architectures for Brain-Machine Interface communication and control use mixture models for expanding rehabilitation capabilities of disabled patients. Here we present and test ...
Jack DiGiovanna, Loris Marchal, Prapaporn Rattanat...
We present and evaluate a machine learning approach to constructing patient-specific classifiers that detect the onset of an epileptic seizure through analysis of the scalp EEG, a...
This paper discusses the Betty’s Brain system and our ongoing work on developing a suite of tools that assist students and teachers in classroom learning in science domains. We ...
John Wagster, Henry Kwong, Gautam Biswas, Daniel S...
The paper presents future visions of technologyenhanced professional learning as expressed in a panEuropean roadmapping activity. The paper introduces a new approach to developing...