Browsing Academic by Subject "Brain computer interface"
Now showing items 1-3 of 3
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Bayesian network based heuristic for energy aware EEG signal classification
( SpringerLink , 2013 , Conference Paper)A major challenge in the current research of wireless electroencephalograph (EEG) sensor-based medical or Brain Computer Interface applications is how to classify EEG signals as accurately and energy efficient as possible. ... -
Directed graph-based wireless EEG sensor channel selection approach for cognitive task classification
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)Wireless electroencephalogram (EEG) sensors have been successfully applied in many medical and computer brain interface classifications. A common characteristic of wireless EEG sensors is that they are low powered devices, ... -
EEG-based multi-modal emotion recognition using bag of deep features: An optimal feature selection approach
( MDPI AG , 2019 , Article)Much attention has been paid to the recognition of human emotions with the help of electroencephalogram (EEG) signals based on machine learning technology. Recognizing emotions is a challenging task due to the non-linear ...