Yazar "Akan, Aydin" için listeleme
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Emotion Detection Using Multivariate Synchrosqueezing Transform via 2D Circumplex Model
Ozel, Pinar; Akan, Aydin; Yilmaz, Bulent (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 ... -
Emotion Elicitation Analysis in Multi-Channel EEG Signals Using Multivariate Empirical Mode Decomposition and Discrete Wavelet Transform
Ozel, Pinar; Akan, Aydin; Yilmaz, Bulent (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
Ozel, Pinar; Akan, Aydin; Yilmaz, Bulent (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 ... -
Emotional State Analysis from EEG signals via Noise-Assisted Multivariate Empirical Mode Decomposition Method
Ozel, Pinar; Akan, Aydin; Yilmaz, Bulent (IEEE345 E 47TH ST, NEW YORK, NY 10017 USA, 2017)Emotional state analysis is an interdisciplinary arena because of the many parameters that encompass the complex neural structure and electrical signals of the brain and in terms of emotional state differences. In recent ... -
Emotional State Sensing by Using Hybrid Multivariate Empirical Mode Decomposition and Synchrosqueezing Transform
Ozel, Pinar; Akan, Aydin; Yilmaz, Bulent (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) ... -
Iterative image reconstruction using non-local means with total variation from insufficient projection data
Ertas, Metin; Yildirim, Isa; Kamasak, Mustafa; Akan, Aydin (IOS PRESSNIEUWE HEMWEG 6B, 1013 BG AMSTERDAM, NETHERLANDS, 2016)In this work, algebraic reconstruction technique (ART) is extended by using non-local means (NLM) and total variation (TV) for reduction of artifacts that are due to insufficient projection data. TV and NLM algorithms use ... -
Multivariate Pseudo Wigner Ville Distribution based Emotion Detection from Electrical Activity of Brain
Ozel, Pinar; Akan, Aydin; Yilmaz, Bulent (IEEE 345 E 47TH ST, NEW YORK, NY 10017 USA, 2017)Recently, there has been a rapid development in multivariate signal analysis to determine joint oscillations for multiple data channels. The emotion elicitation in an electroencephalogram (EEG) is a novel area to evaluate ... -
Synchrosqueezing transform based feature extraction from EEG signals for emotional state prediction
Ozel, Pinar; Akan, Aydin; Yilmaz, Bulent (ELSEVIER SCI LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND, 2019)This paper presents a novel method for emotion recognition based on time-frequency analysis using multivariate synchrosqueezing transform (MSST) of multichannel electroencephalography (EEG) signals. With the advancements ...
