EEG-based individual and context recognition system in ubiquitous environment

In order to implement electroencephalography(EEG)-based individual identification system in ubiquitous environment, as well as to meet the requirements of contextual state awareness, we propose an EEG based individual and context recognition system implementations. Aiming at fulfilling ubiquitous demands of individual identification system in the certain scope(such as the interface to authentication), an EEG-based individual and context recognition system in ubiquitous environment is presented which includes EEG collection, signal de-nosing, feature extraction and pattern recognition. In order to validate the system, the experiments involving five subjects and three contextual states are conducted. The accuracy of individual identification is 96.43% and the accuracy of contextual state recognition is 92.31%, which confirms the feasibility of this plan.