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EEG based emotion recognition using minimum spanning tree
16 references·0 citing·46 second hop
EEG based emotion recognition using minimum spanning tree (2020)EEG based emotion recognition using minim…Wavelet-based emotion recognition system using EEG signal (2016)Wavelet-based emotion recogni…Recognition of emotions using multimodal physiological signals and an ensemble deep learning model (2016)Recognition of emotions using…Investigation of window size in classification of EEG-emotion signal with wavelet entropy and support vector machine (2015)Investigation of window size …Improving BCI-based emotion recognition by combining EEG feature selection and kernel classifiers (2015)Improving BCI-based emotion r…Emotion recognition based on the sample entropy of EEG (2014)Emotion recognition based on …Classifying Different Emotional States by Means of EEG-Based Functional Connectivity Patterns (2014)Classifying Different Emotion…Real-Time EEG-Based Emotion Recognition and Its Applications (2011)Real-Time EEG-Based Emotion R…Neuromarketing: The New Science of Consumer Behavior (2011)Neuromarketing: The New Scien…DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2011)DEAP: A Database for Emotion …The late positive potential: a neurophysiological marker for emotion regulation in children (2009)The late positive potential: …Emotion Recognition From EEG Using Higher Order Crossings (2009)Emotion Recognition From EEG …Specificity of regional brain activity in anxiety types during emotion processing (2007)Specificity of regional brain…G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences (2007)G*Power 3: A flexible statist…Speech emotion recognition using hidden Markov models (2003)Speech emotion recognition us…Emotion recognition in human-computer interaction (2001)Emotion recognition in human-…Affect Grid: A single-item scale of pleasure and arousal. (1989)Affect Grid: A single-item sc…A circumplex model of affect. (1980)Measuring emotion: The self-assessment manikin and the semantic differential (1994)Affective Computing (1997)A Multimodal Database for Affect Recognition and Implicit Tagging (2011)Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks (2015)AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild (2017)What is ‘neuromarketing’? A discussion and agenda for future research (2006)Neuroeconomics: Decision Making and the Brain (2009)Neuromarketing: the hope and hype of neuroimaging in business (2010)Current and potential methods for measuring emotion in tourism experiences: a review (2014)Demystifying neuromarketing (2018)Consumer Behaviour through the Eyes of Neurophysiological Measures: State-of-the-Art and Future Trends (2019)The expression of the emotions in man and animals. 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(1986)Emotional speech recognition: Resources, features, and methods (2006)Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge (2011)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)EEG Based Emotion Recognition: A Tutorial and Review (2022)TSception: Capturing Temporal Dynamics and Spatial Asymmetry From EEG for Emotion Recognition (2022)A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)Emotion Recognition from Multi-Channel EEG through Parallel Convolutional Recurrent Neural Network (2018)Using Deep Convolutional Neural Network for Emotion Detection on a Physiological Signals Dataset (AMIGOS) (2018)Emotion Recognition from Multiband EEG Signals Using CapsNet (2019)Emotion Recognition from EEG Signals Using Multidimensional Information in EMD Domain (2017)SAE+LSTM: A New Framework for Emotion Recognition From Multi-Channel EEG (2019)Time–Frequency Representation and Convolutional Neural Network-Based Emotion Recognition (2020)
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References

  • 2007G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences66,707 cited
  • 2011DEAP: A Database for Emotion Analysis ;Using Physiological Signals5,082 cited
  • 2001Emotion recognition in human-computer interaction2,610 cited
  • 1989Affect Grid: A single-item scale of pleasure and arousal.1,951 cited
  • 2003Speech emotion recognition using hidden Markov models924 cited
  • 2011Neuromarketing: The New Science of Consumer Behavior706 cited
  • 2009Emotion Recognition From EEG Using Higher Order Crossings687 cited
  • 2015Improving BCI-based emotion recognition by combining EEG feature selection and kernel classifiers506 cited
  • 2016Recognition of emotions using multimodal physiological signals and an ensemble deep learning model416 cited
  • 2016Wavelet-based emotion recognition system using EEG signal363 cited
  • 2009The late positive potential: a neurophysiological marker for emotion regulation in children336 cited
  • 2014Classifying Different Emotional States by Means of EEG-Based Functional Connectivity Patterns301 cited
  • 2011Real-Time EEG-Based Emotion Recognition and Its Applications274 cited
  • 2007Specificity of regional brain activity in anxiety types during emotion processing232 cited

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2014
Emotion recognition based on the sample entropy of EEG
206 cited
  • 2015Investigation of window size in classification of EEG-emotion signal with wavelet entropy and support vector machine173 cited
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