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Improving the accuracy of EEG emotion recognition by combining valence lateralization and ensemble learning with tuning parameters
16 references·2 citing·37 second hop
Improving the accuracy of EEG emotion recognition by combining valence lateralization and ensemble learning with tuning parameters (2019)Improving the accuracy of EEG emotion rec…Hierarchical Convolutional Neural Networks for EEG-Based Emotion Recognition (2017)Hierarchical Convolutional Ne…Wavelet-based emotion recognition system using EEG signal (2016)Wavelet-based emotion recogni…Multichannel EEG-Based Emotion Recognition via Group Sparse Canonical Correlation Analysis (2016)Multichannel EEG-Based Emotio…Human emotion recognition and analysis in response to audio music using brain signals (2016)Human emotion recognition and…Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks (2015)Investigating Critical Freque…Improving BCI-based emotion recognition by combining EEG feature selection and kernel classifiers (2015)Improving BCI-based emotion r…Feature Extraction and Selection for Emotion Recognition from EEG (2014)Feature Extraction and Select…Emotional state classification from EEG data using machine learning approach (2013)Emotional state classificatio…Real-Time EEG-Based Emotion Recognition and Its Applications (2011)Real-Time EEG-Based Emotion R…DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2011)DEAP: A Database for Emotion …EEG-Based Emotion Recognition in Music Listening (2010)EEG-Based Emotion Recognition…Emotion Recognition From EEG Using Higher Order Crossings (2009)Emotion Recognition From EEG …Does positive affect influence health? (2005)Does positive affect influenc…Modulation of neuroimmune parameters during the eustress of humor-associated mirthful laughter. (2001)Modulation of neuroimmune par…Measuring emotion: The self-assessment manikin and the semantic differential (1994)Measuring emotion: The self-a…Approach to an irregular time series on the basis of the fractal theory (1988)Approach to an irregular time…Learning DenseNet features from EEG based spectrograms for subject independent emotion recognition (2022)Learning DenseNet features fr…A novel ensemble learning method using multiple objective particle swarm optimization for subject-independent EEG-based emotion recognition (2021)A novel ensemble learning met…A revised version of the psychoticism scale (1985)Personality and Individual Differences (1985)Identifying Stable Patterns over Time for Emotion Recognition from EEG (2017)EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks (2018)EmotionMeter: A Multimodal Framework for Recognizing Human Emotions (2018)A circumplex model of affect. (1980)Affective Computing (1997)A Multimodal Database for Affect Recognition and Implicit Tagging (2011)AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild (2017)International affective picture system (IAPS) : affective ratings of pictures and instruction manual (2005)EEG-Based Emotion Recognition Using Regularized Graph Neural Networks (2020)Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review (2020)Toward machine emotional intelligence: analysis of affective physiological state (2001)Emotion recognition based on physiological changes in music listening (2008)A Review of Emotion Recognition Using Physiological Signals (2018)The CES-D Scale (1977)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Happy People Live Longer: Subjective Well‐Being Contributes to Health and Longevity (2011)Positive psychology interventions: a meta-analysis of randomized controlled studies (2013)Advances in subjective well-being research (2018)The nature of emotion: Fundamental questions. (1994)EEG-Based Emotion Recognition via Channel-Wise Attention and Self Attention (2020)Comparing Recognition Performance and Robustness of Multimodal Deep Learning Models for Multimodal Emotion Recognition (2022)EEG Based Emotion Recognition: A Tutorial and Review (2022)The nature and measurement of meaning. (1952)The Measurement of Meaning (1957)The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS): A dynamic, multimodal set of facial and vocal expressions in North American English (2018)Emotional Intelligence (1990)THE MIRROR-NEURON SYSTEM (2004)Spatial–Temporal Recurrent Neural Network for Emotion Recognition (2018)EEG emotion recognition using fusion model of graph convolutional neural networks and LSTM (2020)Human emotion recognition from EEG-based brain–computer interface using machine learning: a comprehensive review (2022)Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications (2010)TSception: Capturing Temporal Dynamics and Spatial Asymmetry From EEG for Emotion Recognition (2022)Real-Time EEG-Based Human Emotion Recognition and Visualization (2010)Domain Adaptation Techniques for EEG-Based Emotion Recognition: A Comparative Study on Two Public Datasets (2018)
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References

  • 1994Measuring emotion: The self-assessment manikin and the semantic differential9,531 cited
  • 2011DEAP: A Database for Emotion Analysis ;Using Physiological Signals5,082 cited
  • 2015Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks2,616 cited
  • 1988Approach to an irregular time series on the basis of the fractal theory2,164 cited
  • 2005Does positive affect influence health?2,084 cited
  • 2014Feature Extraction and Selection for Emotion Recognition from EEG1,086 cited
  • 2010EEG-Based Emotion Recognition in Music Listening1,023 cited
  • 2013Emotional state classification from EEG data using machine learning approach757 cited
  • 2009Emotion Recognition From EEG Using Higher Order Crossings687 cited
  • 2015Improving BCI-based emotion recognition by combining EEG feature selection and kernel classifiers506 cited
  • 2016Wavelet-based emotion recognition system using EEG signal363 cited
  • 2017Hierarchical Convolutional Neural Networks for EEG-Based Emotion Recognition337 cited
  • 2016Multichannel EEG-Based Emotion Recognition via Group Sparse Canonical Correlation Analysis303 cited
  • 2011Real-Time EEG-Based Emotion Recognition and Its Applications274 cited

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2016
Human emotion recognition and analysis in response to audio music using brain signals
223 cited
  • 2001Modulation of neuroimmune parameters during the eustress of humor-associated mirthful laughter.193 cited
  • Cited by

    • 2022Learning DenseNet features from EEG based spectrograms for subject independent emotion recognition70 cited
    • 2021A novel ensemble learning method using multiple objective particle swarm optimization for subject-independent EEG-based emotion recognition67 cited