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Toplam kayıt 4, listelenen: 1-4
Emotion Detection Using Multivariate Synchrosqueezing Transform via 2D Circumplex Model
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2018)
Emotion detection by utilizing signal processing methods is a challenging area. An open issue in emotional modeling is to obtain an optimum feature set to use for the classification process. This study proposes an approach ...
Like/dislike analysis using EEG: Determination of most discriminative channels and frequencies
(ELSEVIER IRELAND LTD, 2014)
In this study, we have analyzed electroencephalography (EEG) signals to investigate the following issues, (i) which frequencies and EEG channels could be relatively better indicators of preference (like or dislike decisions) ...
Parameter investigation of topological data analysis for EEG signals
(ELSEVIER SCI LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND, 01.01.2021)
Topological data analysis (TDA) methods have become appealing in EEG signal processing, because they may help the scientists explore new features of complex and large amount of data by simplifying the process from a ...
Use of Topological Data Analysis in Motor Intention Based Brain-Computer Interfaces
(IEEE COMPUTER SOC, 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA, 2018)
This study aims to investigate the use of topological data analysis in electroencephalography (EEG) based on brain computer interface (BC!) applications. Our study focused on extracting topological features of EEG signals ...