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Heart Rate Variability Signal Features for Emotion Recognition by Using Principal Component Analysis and Support Vectors Machine
3 references·10 citing·47 second hop
Heart Rate Variability Signal Features for Emotion Recognition by Using Principal Component Analysis and Support Vectors Machine (2016)Heart Rate Variability Signal Features fo…Emotion recognition system using short-term monitoring of physiological signals (2004)Emotion recognition system us…Affective Computing (1997)Affective ComputingEmotion elicitation using films (1995)Emotion elicitation using fil…Automated Affective Computing Based on Bio-Signals Analysis and Deep Learning Approach (2022)Automated Affective Computing…Applying Self-Supervised Representation Learning for Emotion Recognition Using Physiological Signals (2022)Applying Self-Supervised Repr…Ultra-Short Window Length and Feature Importance Analysis for Cognitive Load Detection from Wearable Sensors (2021)Ultra-Short Window Length and…A Transformer Architecture for Stress Detection from ECG (2021)A Transformer Architecture fo…Physiological-signal-based emotion recognition: An odyssey from methodology to philosophy (2020)Physiological-signal-based em…Emotion Recognition Using Convolutional Neural Network with Selected Statistical Photoplethysmogram Features (2020)Emotion Recognition Using Con…A Bayesian Deep Learning Framework for End-To-End Prediction of Emotion From Heartbeat (2020)A Bayesian Deep Learning Fram…Fast Emotion Recognition Based on Single Pulse PPG Signal with Convolutional Neural Network (2019)Fast Emotion Recognition Base…An Ensemble Learning Approach for Electrocardiogram Sensor Based Human Emotion Recognition (2019)An Ensemble Learning Approach…A novel ECG-based real-time detection method of negative emotions in wearable applications (2017)A novel ECG-based real-time d…Emotion recognition in human-computer interaction (2001)Toward machine emotional intelligence: analysis of affective physiological state (2001)Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge (2011)Review on Psychological Stress Detection Using Biosignals (2019)Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review (2020)Review of personality and social psychology (1983)Positive affect facilitates creative problem solving. 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(2007)A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)Can We Ditch Feature Engineering? End-to-End Deep Learning for Affect Recognition from Physiological Sensor Data (2020)Multimodal Affective States Recognition Based on Multiscale CNNs and Biologically Inspired Decision Fusion Model (2021)Bridge Graph Attention Based Graph Convolution Network With Multi-Scale Transformer for EEG Emotion Recognition (2024)A circumplex model of affect. (1980)DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2011)1D Convolutional Autoencoder-Based PPG and GSR Signals for Real-Time Emotion Classification (2022)A comparison of emotion recognition system using electrocardiogram (ECG) and photoplethysmogram (PPG) (2022)Using Facial Micro-Expressions in Combination With EEG and Physiological Signals for Emotion Recognition (2022)Toward detecting emotions in spoken dialogs (2005)Emotion recognition based on physiological changes in music listening (2008)Physiological Sensors Based Emotion Recognition While Experiencing Tactile Enhanced Multimedia (2020)The Design of CNN Architectures for Optimal Six Basic Emotion Classification Using Multiple Physiological Signals (2020)A multilayer stacking method base on RFE-SHAP feature selection strategy for recognition of driver’s mental load and emotional state (2023)Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks (2015)CNN-LSTM for automatic emotion recognition using contactless photoplythesmographic signals (2023)Exploring contactless techniques in multimodal emotion recognition: insights into diverse applications, challenges, solutions, and prospects (2024)A Multimodal Database for Affect Recognition and Implicit Tagging (2011)Introducing WESAD, a Multimodal Dataset for Wearable Stress and Affect Detection (2018)Emotion recognition based on multi-modal physiological signals and transfer learning (2022)TMLP+SRDANN: A domain adaptation method for EEG-based emotion recognition (2022)MAS-DGAT-Net: A dynamic graph attention network with multibranch feature extraction and staged fusion for EEG emotion recognition (2024)A review of affective computing: From unimodal analysis to multimodal fusion (2017)NeuroKit2: A Python toolbox for neurophysiological signal processing (2021)Incongruity-aware multimodal physiology signals fusion for emotion recognition (2023)Two Birds With One Stone: Knowledge-Embedded Temporal Convolutional Transformer for Depression Detection and Emotion Recognition (2023)A Comparison of Personalized and Generalized Approaches to Emotion Recognition Using Consumer Wearable Devices: Machine Learning Study (2024)Machines and Mindlessness: Social Responses to Computers (2000)IEMOCAP: interactive emotional dyadic motion capture database (2008)
this work references cited by second hop

References

  • 1997Affective Computing7,373 cited
  • 1995Emotion elicitation using films2,179 cited
  • 2004Emotion recognition system using short-term monitoring of physiological signals942 cited

Cited by

  • 2019Fast Emotion Recognition Based on Single Pulse PPG Signal with Convolutional Neural Network115 cited
  • 2019An Ensemble Learning Approach for Electrocardiogram Sensor Based Human Emotion Recognition93 cited
  • 2020A Bayesian Deep Learning Framework for End-To-End Prediction of Emotion From Heartbeat87 cited
  • 2020Physiological-signal-based emotion recognition: An odyssey from methodology to philosophy78 cited
  • 2020Emotion Recognition Using Convolutional Neural Network with Selected Statistical Photoplethysmogram Features76 cited
  • 2021A Transformer Architecture for Stress Detection from ECG74 cited
  • 2017A novel ECG-based real-time detection method of negative emotions in wearable applications48 cited
  • 2022Automated Affective Computing Based on Bio-Signals Analysis and Deep Learning Approach40 cited
  • 2021Ultra-Short Window Length and Feature Importance Analysis for Cognitive Load Detection from Wearable Sensors38 cited
  • 2022Applying Self-Supervised Representation Learning for Emotion Recognition Using Physiological Signals38 cited

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