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In this paper, we propose a tensorial approach to single trial recognition in a EEG-based BCI system related to movement related potentials. In this approach input data are considered as tensors instead of more conventional vector or matrix representations. Feature extraction for multiway EEG spectral tensors is solved by using tensor (multi-array) decompositions. For the same EEG motor imagery dataset,...
In this paper, we propose a method of obtaining the sense of touch by using the EEG. Multimodal device based on human sensory systems have obtained a lot of attention in the fields of human interface. Among the human sensory systems, especially, the sense of touch is important form of social interaction and it can have powerful emotional consequences. Therefore, it is important to improve tactile...
As the average age of our population increases, the prevalence of Alzheimer's Disease (AD), the most common form of dementia, has grown sharply. Current diagnosis of AD primarily uses longitudinal clinical evaluations and/or invasive lumbar punctures for CSF analysis, available only at specialized hospitals, which are generally outside of financial and geographical reach of most patients. We expand...
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