A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is
Brain-Computer Interface (BCI), in essence, aims at controlling different assistive devices through the utilization of brain waves. ... Secondly, a considerable number of popular BCI applications are reviewed in terms of electrophysiological control signals, feature extraction, classification algorithms, and performance evaluation metrics ... ACKNOWLEDGMENTS The authors would like to acknowledge support from the Faculty of Electrical & Electronics Engineering Technology, Universiti Malaysia Pahang, Malaysia. ...doi:10.3389/fnbot.2020.00025 pmid:32581758 pmcid:PMC7283463 fatcat:jhpwp2b3hffz5mazb7y6oj3saq
The flexibility of fog node deployment enables the application of Brain Computer Interfaces (BCI) using wireless electroencephalogram (EEG) headsets, AR, real-time video analytics, cyber-physical systems ... paradigms and compares them with the features of MEC. ...doi:10.1109/comst.2021.3062546 fatcat:u3xxvixiw5a4fdl2wxdla24ocu