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A Deep-Learning Model for Subject-Independent Human Emotion Recognition Using Electrodermal Activity Sensors
11 references·9 citing·42 second hop
A Deep-Learning Model for Subject-Independent Human Emotion Recognition Using Electrodermal Activity Sensors (2019)A Deep-Learning Model for Subject-Indepen…Multimodal emotion recognition using deep learning architectures (2016)Multimodal emotion recognitio…Arousal and Valence Recognition of Affective Sounds Based on Electrodermal Activity (2016)Arousal and Valence Recogniti…Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks (2015)Investigating Critical Freque…Deep learning for robust feature generation in audiovisual emotion recognition (2013)Deep learning for robust feat…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…Toward Emotion Recognition in Car-Racing Drivers: A Biosignal Processing Approach (2008)Toward Emotion Recognition in…Emotion recognition based on physiological changes in music listening (2008)Emotion recognition based on …A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)A Survey of Affect Recognitio…Measuring emotion: The self-assessment manikin and the semantic differential (1994)Measuring emotion: The self-a…A Concordance Correlation Coefficient to Evaluate Reproducibility (1989)A Concordance Correlation Coe…A new deep convolutional neural network incorporating attentional mechanisms for ECG emotion recognition (2023)A new deep convolutional neur…Driver Emotions Recognition Based on Improved Faster R-CNN and Neural Architectural Search Network (2022)Driver Emotions Recognition B…Current trends and opportunities in the methodology of electrodermal activity measurement (2022)Current trends and opportunit…DRER: Deep Learning–Based Driver’s Real Emotion Recognizer (2021)DRER: Deep Learning–Based Dri…Deep BiLSTM neural network model for emotion detection using cross-dataset approach (2021)Deep BiLSTM neural network mo…Towards the Applicability of Measuring the Electrodermal Activity in the Context of Process Model Comprehension: Feasibility Study (2020)Towards the Applicability of …Subject-Independent EEG-based Emotion Recognition using Adversarial Learning (2020)Subject-Independent EEG-based…Physiological Sensors Based Emotion Recognition While Experiencing Tactile Enhanced Multimedia (2020)Physiological Sensors Based E…A Systematic Exploration of Deep Neural Networks for EDA-Based Emotion Recognition (2020)A Systematic Exploration of D…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)AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild (2017)Toward detecting emotions in spoken dialogs (2005)IEMOCAP: interactive emotional dyadic motion capture database (2008)Survey on speech emotion recognition: Features, classification schemes, and databases (2010)Hierarchical Convolutional Neural Networks for EEG-Based Emotion Recognition (2017)Learning Affective Features With a Hybrid Deep Model for Audio–Visual Emotion Recognition (2017)Speech Emotion Recognition From 3D Log-Mel Spectrograms With Deep Learning Network (2019)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)DREAMER: A Database for Emotion Recognition Through EEG and ECG Signals From Wireless Low-cost Off-the-Shelf Devices (2017)Emotions Recognition Using EEG Signals: A Survey (2017)International Affective Picture System (IAPS) : Technical Manual and Affective Ratings (1995)Toward machine emotional intelligence: analysis of affective physiological state (2001)Toward Emotion Aware Computing: An Integrated Approach Using Multichannel Neurophysiological Recordings and Affective Visual Stimuli (2010)The Role of Nonlinear Dynamics in Affective Valence and Arousal Recognition (2011)A Review, Current Challenges, and Future Possibilities on Emotion Recognition Using Machine Learning and Physiological Signals (2019)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)Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications (2010)Deep Facial Expression Recognition: A Survey (2020)The principles of psychology, Vol I. (1890)The Principles of Psychology (1891)Emotion recognition in human-computer interaction (2001)EEG-Based Emotion Recognition in Music Listening (2010)A Review of Emotion Recognition Using Physiological Signals (2018)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)Analysis of emotion recognition using facial expressions, speech and multimodal information (2004)Features and classifiers for emotion recognition from speech: a survey from 2000 to 2011 (2012)Deep Learning for Human Affect Recognition: Insights and New Developments (2019)Progressive Modality Reinforcement for Human Multimodal Emotion Recognition from Unaligned Multimodal Sequences (2021)Investigating EEG-based functional connectivity patterns for multimodal emotion recognition (2022)Reproducibility and responsiveness of health status measures statistics and strategies for evaluation (1991)Statistical Methods For Assessing Measurement Error (Reliability) in Variables Relevant to Sports Medicine (1998)Content Analysis in Mass Communication: Assessment and Reporting of Intercoder Reliability (2002)
this work references cited by second hop

References

  • 1994Measuring emotion: The self-assessment manikin and the semantic differential9,531 cited
  • 1989A Concordance Correlation Coefficient to Evaluate Reproducibility8,782 cited
  • 2011DEAP: A Database for Emotion Analysis ;Using Physiological Signals5,082 cited
  • 2008A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions2,797 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
  • 2008Emotion recognition based on physiological changes in music listening1,085 cited
  • 2013Deep learning for robust feature generation in audiovisual emotion recognition401 cited
  • 2008Toward Emotion Recognition in Car-Racing Drivers: A Biosignal Processing Approach335 cited
  • 2016Multimodal emotion recognition using deep learning architectures249 cited
  • 2016Arousal and Valence Recognition of Affective Sounds Based on Electrodermal Activity115 cited

Cited by

  • 2023A new deep convolutional neural network incorporating attentional mechanisms for ECG emotion recognition94 cited
  • 2020Physiological Sensors Based Emotion Recognition While Experiencing Tactile Enhanced Multimedia88 cited
  • 2022Current trends and opportunities in the methodology of electrodermal activity measurement

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85 cited
  • 2021Deep BiLSTM neural network model for emotion detection using cross-dataset approach73 cited
  • 2022Driver Emotions Recognition Based on Improved Faster R-CNN and Neural Architectural Search Network59 cited
  • 2020A Systematic Exploration of Deep Neural Networks for EDA-Based Emotion Recognition57 cited
  • 2020Subject-Independent EEG-based Emotion Recognition using Adversarial Learning55 cited
  • 2021DRER: Deep Learning–Based Driver’s Real Emotion Recognizer55 cited
  • 2020Towards the Applicability of Measuring the Electrodermal Activity in the Context of Process Model Comprehension: Feasibility Study27 cited