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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 ...
Relationship between objective and subjective cognitive load measurements in multimedia learning
(ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD, 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND, 2020)
The aim of this study is to compare subjective and objective cognitive load measurements in a multimedia learning environment. For this purpose, 20 university students studied in multimedia environments designed by researchers ...
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 ...
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 ...
Discrimination of Rest, Motor Imagery and Movement for Brain-Computer Interface Applications
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2018)
Brain-computer interface (BCI) is a system that provides a means to control prosthesis, wheelchair, or similar devices using brain waves without direct motor nervous system involvement. For this purpose, brain waves obtained ...
Emotional State Sensing by Using Hybrid Multivariate Empirical Mode Decomposition and Synchrosqueezing Transform
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2018)
In recent years, utilizing Hilbert-based time frequency methods in emotional state sensing research attracted attention in the brain computer interfaces. Primarily, Hilbert Transform-based empirical mode decomposition (EMD) ...
Real-Time Robotic Car Control Using Brainwaves and Head Movement
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2018)
Emotiv Epoc Headset is a portable and low-cost device. In this study, Emotiv Epoc headset was used in order to obtain real-time gyro and EEG signals. The aim of this study was to control a robotic car in real-time by using ...
Emotion Elicitation Analysis in Multi-Channel EEG Signals Using Multivariate Empirical Mode Decomposition and Discrete Wavelet Transform
(IEEE345 E 47TH ST, NEW YORK, NY 10017 USA, 2017)
In recent years, wavelet-based, Fourier-based and Hilbert-based time-frequency methods attracted attention in emotion state classification studies in human machine interaction. In particular, the Hilbert-based Empirical ...
Emotion Recognition Classification in EEG Signals Using Multivariate Synchrosqueezing Transform
(IEEE345 E 47TH ST, NEW YORK, NY 10017 USA, 2017)
Electrophysiological data processing can take place both in time and in frequency domains as well as in the joint time-frequency domain. Short Time Fourier Transform and Wavelet Transform are commonly used time-frequency ...
Improving short –term memory performance using alpha band neurofeedback
(Abdullah Gül Üniversitesi, 2018)
Age-related memory degradation is a serious problem for individuals and there is no known satisfying medical treatment of memory disorders such as Alzheimer. Recent advances in BCI technology enable us to measure brain ...
