Emotion Classification from EEG Signals Using Time-Frequency-DWT Features and ANN

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"Emotion Classification from EEG Signals Using Time-Frequency-DWT Features and ANN"
written by Adrian Qi-Xiang Ang, Yi Qi Yeong, Wee Wee,
published by Journal of Computer and Communications, Vol.5 No.3, 2017

has been cited by the following article(s):

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[2]	A Two-Step Framework to Recognize Emotion Using the Combinations of Adjacent Frequency Bands of EEG
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[3]	Metrological foundations of emotional valence measurement through an EEG-based system
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[5]	Reproducible Assessment of Valence and Arousal Based on an EEG Wearable Device
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[6]	Electroencephalogram-Based Emotion Recognition Using Random Forest
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[7]	Enhancing emotion recognition using region-specific electroencephalogram data and dynamic functional connectivity
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[8]	Análisis de la conectividad funcional en datos electroencefalográficos asociados a sentimientos
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[9]	Emotion analysis using machine learning model and deep learning model on DEAP dataset
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[10]	Emotion Recognition Using EEG-Based Brain Computer Interface
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[11]	EEG-based detection of emotional valence towards a reproducible measurement of emotions
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[12]	A Comprehensive Review for Emotion Detection Based on EEG Signals: Challenges, Applications, and Open Issues.
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[13]	Feature extraction approach based on statistical methods and wavelet packet decomposition for emotion recognition using EEG signals
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[14]	ERAD-Fe: Emotion recognition-assisted deep learning framework
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[15]	High-wearable EEG-Based Detection of Emotional Valence for Scientific Measurement of Emotions
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[16]	Physiological and electroencephalogram responses in goats subjected to pre-and during slaughter stress
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[17]	Brain Signals Classification Based on Fuzzy Lattice Reasoning
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[18]	Emotion recognition with convolutional neural network and EEG-based EFDMs
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[19]	An Emotion Classification Method Based on Energy Entropy of Principal Component
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[20]	Novel neural network models for financial prediction
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[21]	A snapshot research and implementation of multimodal information fusion for data-driven emotion recognition
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[22]	Detecting learning disabilities based on neuro-physiological interface of affect (NPIoA)
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[23]	Brainwave-Based Human Emotion Estimation using Deep Neural Network Models for Biofeedback
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[24]	Review on Various Emotional Disorders by Analyzing Human Brain Signal Patterns (EEG Signals)
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[25]	Duygu Durum Değişimlerinin EEG-Gama Bandı Öznitelikleri ve Farklı Sınıflandırıcılar ile İncelenmesi Investigation of Emotional Changes Using Features of …
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[26]	Emotion Classifications in Electroencephalogram (EEG) Signals
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[27]	Investigation of Emotional Changes Using Features of EEG-Gamma Band and Different Classifiers
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[28]	Analysis of EEG Based Emotion Detection of DEAP and SEED-IV Databases Using SVM
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[29]	A survey of machine learning techniques in physiology based mental stress detection systems
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[30]	Emotion classification using EEG signals based on tunable‐Q wavelet transform
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[31]	A novel approach to emotion recognition using local subset feature selection and modified Dempster-Shafer theory
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[32]	Towards EEG-based BCI driven by emotions for addressing BCI-Illiteracy: a meta-analytic review
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[33]	Emotion classification using flexible analytic wavelet transform for electroencephalogram signals
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[34]	EEG Tabanlı Duygu Analiz Sistemleri
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[35]	Emotion classification through nonlinear EEG analysis using machine learning methods
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[36]	Emotion classification using EEG signals based on tunable-Q wavelet transform
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[37]	EEG Tabanlı Duygu Analizi Sistemleri
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[38]	EEG-induced Fear-type Emotion Classification through Wavelet Packet Decomposition, Wavelet Entropy and SVM


[39]	Duygu durumlarına göre değişen beyin fonksiyonel bağlantısallık analizi

[1]	Attention deficit hyperactivity disorder detection in children using multivariate empirical EEG decomposition approaches: A comprehensive analytical study Expert Systems with Applications, 2023 DOI:10.1016/j.eswa.2022.119219

[2]	A Two-Step Framework to Recognize Emotion Using the Combinations of Adjacent Frequency Bands of EEG Applied Sciences, 2023 DOI:10.3390/app13031954

[3]	Advances in Non-Invasive Biomedical Signal Sensing and Processing with Machine Learning 2023 DOI:10.1007/978-3-031-23239-8_7

[4]	Attention deficit hyperactivity disorder detection in children using multivariate empirical EEG decomposition approaches: A comprehensive analytical study Expert Systems with Applications, 2023 DOI:10.1016/j.eswa.2022.119219

[5]	Computer Vision and Machine Intelligence Lecture Notes in Networks and Systems, 2023 DOI:10.1007/978-981-19-7867-8_4

[6]	EEG-induced Fear-type Emotion Classification Through Wavelet Packet Decomposition, Wavelet Entropy, and SVM Hittite Journal of Science and Engineering, 2022 DOI:10.17350/HJSE19030000277

[7]	An Efficient Spatial-Temporal Representation Method for EEG Emotion Recognition 2022 IEEE Smartworld, Ubiquitous Intelligence & Computing, Scalable Computing & Communications, Digital Twin, Privacy Computing, Metaverse, Autonomous & Trusted Vehicles (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta), 2022 DOI:10.1109/SmartWorld-UIC-ATC-ScalCom-DigitalTwin-PriComp-Metaverse56740.2022.00084

[8]	Tetromino pattern based accurate EEG emotion classification model Artificial Intelligence in Medicine, 2022 DOI:10.1016/j.artmed.2021.102210

[9]	Tetromino pattern based accurate EEG emotion classification model Artificial Intelligence in Medicine, 2022 DOI:10.1016/j.artmed.2021.102210

[10]	Enhancing Emotion Recognition Using Region-Specific Electroencephalogram Data and Dynamic Functional Connectivity Frontiers in Neuroscience, 2022 DOI:10.3389/fnins.2022.884475

[11]	Metrological foundations of emotional valence measurement through an EEG-based system 2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 2022 DOI:10.1109/I2MTC48687.2022.9806578

[12]	Pattern Recognition and Data Analysis with Applications Lecture Notes in Electrical Engineering, 2022 DOI:10.1007/978-981-19-1520-8_48

[13]	Reproducible Assessment of Valence and Arousal Based on an EEG Wearable Device 2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE), 2022 DOI:10.1109/MetroXRAINE54828.2022.9967651

[14]	EEG-induced Fear-type Emotion Classification through Wavelet Packet Decomposition, Wavelet Entropy and SVM Hittite Journal of Science and Engineering, 2022 DOI:10.17350/HJSE19030000277

[15]	Brain Signals Classification Based on Fuzzy Lattice Reasoning Mathematics, 2021 DOI:10.3390/math9091063

[16]	Feature Extraction Approach Based on Statistical Methods and Wavelet Packet Decomposition for Emotion Recognition using EEG Signals 2021 International Conference on INnovations in Intelligent SysTems and Applications (INISTA), 2021 DOI:10.1109/INISTA52262.2021.9548406

[17]	eRAD-Fe: Emotion Recognition-Assisted Deep Learning Framework IEEE Transactions on Instrumentation and Measurement, 2021 DOI:10.1109/TIM.2021.3115195

[18]	Physiological and electroencephalogram responses in goats subjected to pre-and during slaughter stress Saudi Journal of Biological Sciences, 2021 DOI:10.1016/j.sjbs.2021.07.013

[19]	EEG-based detection of emotional valence towards a reproducible measurement of emotions Scientific Reports, 2021 DOI:10.1038/s41598-021-00812-7

[20]	Emotion Recognition Using EEG-Based Brain Computer Interface 2021 International Conference on Electronics, Communications and Information Technology (ICECIT), 2021 DOI:10.1109/ICECIT54077.2021.9641223

[21]	EEG-based detection of emotional valence towards a reproducible measurement of emotions Scientific Reports, 2021 DOI:10.1038/s41598-021-00812-7

[22]	Physiological and electroencephalogram responses in goats subjected to pre-and during slaughter stress Saudi Journal of Biological Sciences, 2021 DOI:10.1016/j.sjbs.2021.07.013

[23]	A snapshot research and implementation of multimodal information fusion for data-driven emotion recognition Information Fusion, 2020 DOI:10.1016/j.inffus.2019.06.019

[24]	An Emotion Classification Method Based on Energy Entropy of Principal Component Journal of Physics: Conference Series, 2020 DOI:10.1088/1742-6596/1487/1/012002

[25]	Emotion recognition with convolutional neural network and EEG-based EFDMs Neuropsychologia, 2020 DOI:10.1016/j.neuropsychologia.2020.107506

[26]	Analysis of EEG Based Emotion Detection of DEAP and SEED-IV Databases Using SVM SSRN Electronic Journal , 2019 DOI:10.2139/ssrn.3509130

[27]	Review on Various Emotional Disorders by Analyzing Human Brain Signal Patterns (EEG Signals) 2019 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT), 2019 DOI:10.1109/ICECCT.2019.8869453

[28]	A survey of machine learning techniques in physiology based mental stress detection systems Biocybernetics and Biomedical Engineering, 2019 DOI:10.1016/j.bbe.2019.01.004

[29]	Towards EEG-based BCI driven by emotions for addressing BCI-Illiteracy: a meta-analytic review Behaviour & Information Technology, 2018 DOI:10.1080/0144929X.2018.1485745

[30]	Emotion classification using flexible analytic wavelet transform for electroencephalogram signals Health Information Science and Systems, 2018 DOI:10.1007/s13755-018-0048-y

[31]	A novel approach to emotion recognition using local subset feature selection and modified Dempster-Shafer theory Behavioral and Brain Functions, 2018 DOI:10.1186/s12993-018-0149-4

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