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TELKOMNIKA Telecommunication, Computing, Electronics and Control
Classification of EEG signals for facial expression and motor execution with deep learning
Recently, algorithms of machine learning are widely used with the field of
electroencephalography (EEG) brain-computer interfaces (BCI). The
preprocessing stage for the EEG signals is performed by applying the
principle component analysis (PCA)…
electroencephalography (EEG) brain-computer interfaces (BCI). The
preprocessing stage for the EEG signals is performed by applying the
principle component analysis (PCA)…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
A new eliminating EOG artifacts technique using combined decomposition methods with CCA and H.P.F. techniques
Normally, the collected EEG signals from the human scalp cortex by using the non-invasive EEG collection methods were contaminated with artifacts, like an eye electrical activity, leading to increases in the challenges in analyzing the…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Brain computer interface based smart keyboard using neurosky mindwave headset
In the last decade, numerous researches in the field of electro-encephalography (EEG) and brain-computer-interface (BCI) have been accomplished. BCI has been developed to aid disabled/partially disabled people to efficiently communicate with the…