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EEG based Emotion Recognition from Human Brain using Hjorth Parameters and SVM
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EEG based Emotion Recognition from Human Brain using Hjorth Parameters and SVM (2015)EEG based Emotion Recognition from Human …Multimodal Emotion Recognition in Response to Videos (2011)Multimodal Emotion Recognitio…Affective Audio-Visual Words and Latent Topic Driving Model for Realizing Movie Affective Scene Classification (2010)Affective Audio-Visual Words …The late positive potential: a neurophysiological marker for emotion regulation in children (2009)The late positive potential: …Remarks on emotion recognition from multi-modal bio-potential signals (2005)Remarks on emotion recognitio…Fine-Grained Interpretability for EEG Emotion Recognition: Concat-Aided Grad-CAM and Systematic Brain Functional Network (2023)Fine-Grained Interpretability…Emotion Recognition From Multi-Channel EEG Signals by Exploiting the Deep Belief-Conditional Random Field Framework (2020)Emotion Recognition From Mult…Affective Computing (1997)Toward machine emotional intelligence: analysis of affective physiological state (2001)Recognizing emotion in speech (2002)EEG-based subject-dependent emotion recognition algorithm using fractal dimension (2014)CogniMeter: EEG-based Emotion, Mental Workload and Stress Visual Monitoring (2015)Investigating Patterns for Self-Induced Emotion Recognition from EEG Signals (2018)Antecedent- and response-focused emotion regulation: Divergent consequences for experience, expression, and physiology. (1998)Individual differences in two emotion regulation processes: Implications for affect, relationships, and well-being. (2003)International affective picture system (IAPS) : affective ratings of pictures and instruction manual (2005)Methodological implications of the affect revolution: A 35-year review of emotion regulation assessment in children (2011)Dispositional mindfulness and the attenuation of neural responses to emotional stimuli (2012)Review and Classification of Emotion Recognition Based on EEG Brain-Computer Interface System Research: A Systematic Review (2017)A circumplex model of affect. (1980)Emotion elicitation using films (1995)Pleasure-arousal-dominance: A general framework for describing and measuring individual differences in Temperament (1996)A Connotative Space for Supporting Movie Affective Recommendation (2011)Affective Video Content Analysis: A Multidisciplinary Insight (2017)Discrete Probability Distribution Prediction of Image Emotions with Shared Sparse Learning (2018)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)The Cognitive Structure of Emotions (1988)A Review and Meta-Analysis of Multimodal Affect Detection Systems (2015)Analysis of EEG Signals and Facial Expressions for Continuous Emotion Detection (2015)Human Emotion Recognition: Review of Sensors and Methods (2020)DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2011)Emotional state classification from EEG data using machine learning approach (2013)Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks (2015)DRER: Deep Learning–Based Driver’s Real Emotion Recognizer (2021)Deep Learning Model With Adaptive Regularization for EEG-Based Emotion Recognition Using Temporal and Frequency Features (2022)Driver Emotions Recognition Based on Improved Faster R-CNN and Neural Architectural Search Network (2022)EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks (2018)EmotionMeter: A Multimodal Framework for Recognizing Human Emotions (2018)
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References

  • 2011Multimodal Emotion Recognition in Response to Videos723 cited
  • 2009The late positive potential: a neurophysiological marker for emotion regulation in children336 cited
  • 2005Remarks on emotion recognition from multi-modal bio-potential signals91 cited
  • 2010Affective Audio-Visual Words and Latent Topic Driving Model for Realizing Movie Affective Scene Classification78 cited

Cited by

  • 2023Fine-Grained Interpretability for EEG Emotion Recognition: Concat-Aided Grad-CAM and Systematic Brain Functional Network60 cited
  • 2020Emotion Recognition From Multi-Channel EEG Signals by Exploiting the Deep Belief-Conditional Random Field Framework60 cited

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