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Use of Differential Entropy for Automated Emotion Recognition in a Virtual Reality Environment with EEG Signals
16 references·0 citing·37 second hopsampled
Use of Differential Entropy for Automated Emotion Recognition in a Virtual Reality Environment with EEG Signals (2022)Use of Differential Entropy for Automated…High Gamma Band EEG Closely Related to Emotion: Evidence From Functional Network (2020)High Gamma Band EEG Closely R…EEG emotion recognition using fusion model of graph convolutional neural networks and LSTM (2020)EEG emotion recognition using…Database for an emotion recognition system based on EEG signals and various computer games – GAMEEMO (2020)Database for an emotion recog…SAE+LSTM: A New Framework for Emotion Recognition From Multi-Channel EEG (2019)SAE+LSTM: A New Framework for…Learning CNN features from DE features for EEG-based emotion recognition (2019)Learning CNN features from DE…Facial Expression Recognition Using Computer Vision: A Systematic Review (2019)Facial Expression Recognition…Automatic Speech Emotion Recognition Using Machine Learning (2019)Automatic Speech Emotion Reco…Affective computing in virtual reality: emotion recognition from brain and heartbeat dynamics using wearable sensors (2018)Affective computing in virtua…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…Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks (2015)Investigating Critical Freque…EEG-based emotion classification using deep belief networks (2014)EEG-based emotion classificat…Emotional state classification from EEG data using machine learning approach (2013)Emotional state classificatio…DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2011)DEAP: A Database for Emotion …A Multimodal Database for Affect Recognition and Implicit Tagging (2011)A Multimodal Database for Aff…A circumplex model of affect. (1980)A circumplex model of affect.A revised version of the psychoticism scale (1985)Personality and Individual Differences (1985)EmotionMeter: A Multimodal Framework for Recognizing Human Emotions (2018)Measuring emotion: The self-assessment manikin and the semantic differential (1994)Affective Computing (1997)AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild (2017)Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications (2010)Differential entropy feature for EEG-based emotion classification (2013)A Review, Current Challenges, and Future Possibilities on Emotion Recognition Using Machine Learning and Physiological Signals (2019)Emotion Recognition from Multiband EEG Signals Using CapsNet (2019)Time–Frequency Representation and Convolutional Neural Network-Based Emotion Recognition (2020)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)DREAMER: A Database for Emotion Recognition Through EEG and ECG Signals From Wireless Low-cost Off-the-Shelf Devices (2017)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 Principles of Psychology (1891)The Psychology of Interpersonal Relations. (1958)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Culture and the Self: Implications for Cognition, Emotion, and Motivation (1991)THE PSYCHOLOGY OF PERSONAL CONSTRUCTS (2010)Emotion And Adaptation (1991)Emotion Recognition from EEG Signals Using Multidimensional Information in EMD Domain (2017)The PHQ-9 (2001)Wearable-Based Affect Recognition—A Review (2019)EEG-Based Emotion Recognition: A State-of-the-Art Review of Current Trends and Opportunities (2020)Emotion Recognition in Immersive Virtual Reality: From Statistics to Affective Computing (2020)Measures of emotion: A review (2009)A Review of Emotion Recognition Using Physiological Signals (2018)Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review (2020)Emotions Recognition Using EEG Signals: A Survey (2017)EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks (2018)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

  • 1980A circumplex model of affect.17,317 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
  • 2011A Multimodal Database for Affect Recognition and Implicit Tagging1,664 cited
  • 2017Identifying Stable Patterns over Time for Emotion Recognition from EEG995 cited
  • 2013Emotional state classification from EEG data using machine learning approach757 cited
  • 2020EEG emotion recognition using fusion model of graph convolutional neural networks and LSTM468 cited
  • 2018Affective computing in virtual reality: emotion recognition from brain and heartbeat dynamics using wearable sensors414 cited
  • 2014EEG-based emotion classification using deep belief networks367 cited
  • 2016Wavelet-based emotion recognition system using EEG signal363 cited
  • 2019SAE+LSTM: A New Framework for Emotion Recognition From Multi-Channel EEG269 cited
  • 2019Facial Expression Recognition Using Computer Vision: A Systematic Review185 cited
  • 2020Database for an emotion recognition system based on EEG signals and various computer games – GAMEEMO185 cited
  • 2020High Gamma Band EEG Closely Related to Emotion: Evidence From Functional Network184 cited

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  • 2019Automatic Speech Emotion Recognition Using Machine Learning179 cited
  • 2019Learning CNN features from DE features for EEG-based emotion recognition165 cited
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