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- W2382031895 abstract "Brain-computer interface as a new kind of human-computer interaction which does not depend on the human peripheral nervous system and muscle tissue has gotten wide range of concerns.However,due to the complexity of EEG,as well as the complex algorithms and high spatial and temporal resolution of EEG using for improving the recognition accuracy,the traditional serial algorithm can not meet brain-computer interface real-time online requirements.Meanwhile,multicore era is coming,and there are a lot of computing resources can be utilized.In this paper,we propose a general framework that paralleling the key algorithm of brain-computer interface;based on the framework we design and implement parallel algorithm on P300 brain-computer interface.Theoretical analysis and experimental results show that the parallelization can be effectively improve the communications efficiency of brain-computer interface,and provide a new way of thinking for online EEG classification." @default.
- W2382031895 created "2016-06-24" @default.
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- W2382031895 date "2009-01-01" @default.
- W2382031895 modified "2023-09-26" @default.
- W2382031895 title "Design and Implementation of BCI Parallel Algorithm on CMP" @default.
- W2382031895 hasPublicationYear "2009" @default.
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