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EEG-Based Emotion Recognition Using an Improved Weighted Horizontal Visibility Graph
16 references·0 citing·41 second hop
EEG-Based Emotion Recognition Using an Improved Weighted Horizontal Visibility Graph (2021)EEG-Based Emotion Recognition Using an Im…EEG-based emotion recognition using an end-to-end regional-asymmetric convolutional neural network (2020)EEG-based emotion recognition…EEG emotion recognition using fusion model of graph convolutional neural networks and LSTM (2020)EEG emotion recognition using…Development of a Real-Time Emotion Recognition System Using Facial Expressions and EEG based on machine learning and deep neural network methods (2020)Development of a Real-Time Em…EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks (2018)EEG Emotion Recognition Using…Cross-Subject Emotion Recognition Using Flexible Analytic Wavelet Transform From EEG Signals (2018)Cross-Subject Emotion Recogni…Self-report captures 27 distinct categories of emotion bridged by continuous gradients (2017)Self-report captures 27 disti…Identifying Stable Patterns over Time for Emotion Recognition from EEG (2017)Identifying Stable Patterns o…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…Human emotion recognition and analysis in response to audio music using brain signals (2016)Human emotion recognition and…Feature Extraction and Selection for Emotion Recognition from EEG (2014)Feature Extraction and Select…Four Models of Basic Emotions: A Review of Ekman and Cordaro, Izard, Levenson, and Panksepp and Watt (2011)Four Models of Basic Emotions…DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2011)DEAP: A Database for Emotion …Horizontal visibility graphs: Exact results for random time series (2009)Horizontal visibility graphs:…From time series to complex networks: The visibility graph (2008)From time series to complex n…Affective space is bipolar. (1979)Affective space is bipolar.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)AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild (2017)Coefficient Alpha and the Internal Structure of Tests (1951)The Measurement of Meaning (1957)Manual for the State-Trait Anxiety Inventory (1970)Patterns of cognitive appraisal in emotion. (1985)Toward a consensual structure of mood. (1985)Fractals, Chaos, and Power Laws (1992)Modeling bursts and heavy tails in human dynamics (2006)A survey of methods for time series change point detection (2016)Complex network approaches to nonlinear time series analysis (2018)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)Fractional Brownian Motions, Fractional Noises and Applications (1968)RECURRENCE-BASED TIME SERIES ANALYSIS BY MEANS OF COMPLEX NETWORK METHODS (2011)Complex network analysis of time series (2016)Emotion recognition in human-computer interaction (2001)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)The Satisfaction With Life Scale (1985)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)Emotion semantics show both cultural variation and universal structure (2019)Uncovering the structure of self-regulation through data-driven ontology discovery (2019)Recognition of human emotions using EEG signals: A review (2021)Mechanism Design via Differential Privacy (2007)Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks (2015)A Review of Emotion Recognition Using Physiological Signals (2018)EEG-Based Emotion Recognition via Channel-Wise Attention and Self Attention (2020)Measures of emotion: A review (2009)EEG Based Emotion Recognition: A Tutorial and Review (2022)Emotions Recognition Using EEG Signals: A Survey (2017)Emotion Recognition From EEG Signal Focusing on Deep Learning and Shallow Learning Techniques (2021)Review of the emotional feature extraction and classification using EEG signals (2021)Emotion recognition in EEG signals using deep learning methods: A review (2023)
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References

  • 2011DEAP: A Database for Emotion Analysis ;Using Physiological Signals5,082 cited
  • 2008From time series to complex networks: The visibility graph1,858 cited
  • 2018EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks1,605 cited
  • 2014Feature Extraction and Selection for Emotion Recognition from EEG1,086 cited
  • 2017Identifying Stable Patterns over Time for Emotion Recognition from EEG995 cited
  • 2017Self-report captures 27 distinct categories of emotion bridged by continuous gradients894 cited
  • 1979Affective space is bipolar.857 cited
  • 2009Horizontal visibility graphs: Exact results for random time series788 cited
  • 2020EEG emotion recognition using fusion model of graph convolutional neural networks and LSTM468 cited
  • 2016Recognition of emotions using multimodal physiological signals and an ensemble deep learning model416 cited
  • 2011Four Models of Basic Emotions: A Review of Ekman and Cordaro, Izard, Levenson, and Panksepp and Watt412 cited
  • 2016Wavelet-based emotion recognition system using EEG signal363 cited
  • 2018Cross-Subject Emotion Recognition Using Flexible Analytic Wavelet Transform From EEG Signals294 cited
  • 2020EEG-based emotion recognition using an end-to-end regional-asymmetric convolutional neural network284 cited

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  • 2020Development of a Real-Time Emotion Recognition System Using Facial Expressions and EEG based on machine learning and deep neural network methods275 cited
  • 2016Human emotion recognition and analysis in response to audio music using brain signals223 cited
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