Title :
A tensorial approach to single trial recognition for Brain Computer Interface
Author :
Phan, Anh Huy ; Cichocki, Andrzej ; Vu-Dinh, Thanh
Author_Institution :
Brain Sci. Inst., Lab. for Adv. Brain Signal Process., RIKEN, Wako, Japan
Abstract :
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, the developed algorithms improved the accuracy of classification by almost 10% compared with the common spatial pattern (CSP) method.
Keywords :
brain-computer interfaces; electroencephalography; feature extraction; matrix algebra; medical signal processing; pattern classification; tensors; EEG motor imagery dataset; EEG spectral tensor; EEG-based BCI system; brain computer interface; common spatial pattern; conventional vector; feature extraction; matrix representation; movement related potential; single trial recognition; tensorial approach; Accuracy; Electroencephalography; Feature extraction; Signal processing algorithms; Tensile stress; Training; Training data;
Conference_Titel :
Advanced Technologies for Communications (ATC), 2010 International Conference on
Conference_Location :
Ho Chi Minh City
Print_ISBN :
978-1-4244-8875-9
DOI :
10.1109/ATC.2010.5672697
