Individual Classification of Emotions Using EEG

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Journal of Biomedical Science and Engineering

ISSN Print: 1937-6871
ISSN Online: 1937-688X
www.scirp.org/journal/jbise
E-mail: jbise@scirp.org

Google-based Impact Factor: 0.66
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"Individual Classification of Emotions Using EEG"
written by Stefano Valenzi, Tanvir Islam, Peter Jurica, Andrzej Cichocki,
published by Journal of Biomedical Science and Engineering, Vol.7 No.8, 2014

has been cited by the following article(s):

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[69]	Enhancing Emotion Recognition from ECG Signals using Supervised Dimensionality Reduction.
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[71]	Fuzzy classification of human emotions using fuzzy C-Mean (FCFCM)
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[74]	AN INNOVATIVE APPROACH TO CLASSIFICATION OF EMOTIONS IN EEG SIGNAL FOR THE USE IN NEUROMARKETING RESEARCH
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[78]	Emotion detection from EEG recordings
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[84]	Robust Modeling of Continuous Four Dimensional Affective Space from EEG Recording.
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[85]	Recognition of visually induced emotions based on electroencephalography
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[86]	Neuromarketing: Neurocode-Tracking in Combination with Eye-Tracking for Quantitative Objective Assessment of TV Commercials
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[87]	Investigating Critical Frequency Bands and Channels for EEG-based Emotion Recognition with Deep Neural Networks
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[90]	MM3BPR Progress Report: TIME SERIES ANALYSIS OF ELECTROENCEPHALOGRAPHY (EEG) SIGNALS
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[91]	AN ENHANCED COMPUTATIONAL MODEL BASED ON SOCIAL SPIDER OPTIMISATION ALGORITHM FOR EEG-BASED EMOTION RECOGNITION


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[1]	Neurophysiological Measures in Hospitality and Tourism: Review, Critique, and Research Agenda Journal of Hospitality & Tourism Research, 2024 DOI:10.1177/10963480221091117

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[11]	Electroencephalograph-based emotion recognition using convolutional neural network without manual feature extraction Applied Soft Computing, 2022 DOI:10.1016/j.asoc.2022.109534

[12]	Research on Emotion Recognition of EEG Signal Based on Convolutional Neural Networks and High-Order Cross-Analysis Journal of Healthcare Engineering, 2022 DOI:10.1155/2022/6238172

[13]	Enhanced deep capsule network for EEG-based emotion recognition Signal, Image and Video Processing, 2022 DOI:10.1007/s11760-022-02251-x

[14]	Data Mining for Human Emotions Classification Based on Skin Conductance Response and Heart Rate - A Survey 2022 International Conference on Computer Communication and Informatics (ICCCI), 2022 DOI:10.1109/ICCCI54379.2022.9740917

[15]	Emotion Recognition Using a Reduced Set of EEG Channels Based on Holographic Feature Maps Sensors, 2022 DOI:10.3390/s22093248

[16]	Neurophysiological Measures in Hospitality and Tourism: Review, Critique, and Research Agenda Journal of Hospitality & Tourism Research, 2022 DOI:10.1177/10963480221091117

[17]	Improving emotion detection through artificial intelligence from EEG brainwave signals 2022 International Conference on Artificial Intelligence of Things (ICAIoT), 2022 DOI:10.1109/ICAIoT57170.2022.10121827

[18]	Evaluation of electrocardiogram: numerical vs. image data for emotion recognition system F1000Research, 2021 DOI:10.12688/f1000research.73255.1

[19]	Critical Information Selection for Affective Brain-computer Interfaces Based on Brain Function Networks 2021 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2021 DOI:10.1109/ROBIO54168.2021.9739247

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[25]	A 10.13µJ/Classification 2-Channel Deep Neural Network Based SoC for Negative Emotion Outburst Detection of Autistic Children IEEE Transactions on Biomedical Circuits and Systems, 2021 DOI:10.1109/TBCAS.2021.3113613

[26]	Factors influencing environmental perception: A Systematic Review Journal of Physics: Conference Series, 2021 DOI:10.1088/1742-6596/1950/1/012040

[27]	Recognition of human emotions using EEG signals: A review Computers in Biology and Medicine, 2021 DOI:10.1016/j.compbiomed.2021.104696

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[29]	Paired Trial Classification: A Novel Deep Learning Technique for MVPA Frontiers in Neuroscience, 2020 DOI:10.3389/fnins.2020.00417

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[65]	Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks IEEE Transactions on Autonomous Mental Development, 2015 DOI:10.1109/TAMD.2015.2431497

[66]	A data-driven validation of frontal EEG asymmetry using a consumer device 2015 International Conference on Affective Computing and Intelligent Interaction (ACII), 2015 DOI:10.1109/ACII.2015.7344686

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	+1 323-425-8868
	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

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