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K-EmoCon, a multimodal sensor dataset for continuous emotion recognition in naturalistic conversations
16 references·15 citing·51 second hopsampled
K-EmoCon, a multimodal sensor dataset for continuous emotion recognition in naturalistic conversations (2020)K-EmoCon, a multimodal sensor dataset for…MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations (2019)MELD: A Multimodal Multi-Part…Introducing WESAD, a Multimodal Dataset for Wearable Stress and Affect Detection (2018)Introducing WESAD, a Multimod…DREAMER: A Database for Emotion Recognition Through EEG and ECG Signals From Wireless Low-cost Off-the-Shelf Devices (2017)DREAMER: A Database for Emoti…AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild (2017)AffectNet: A Database for Fac…DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2011)DEAP: A Database for Emotion …The weirdest people in the world? (2010)The weirdest people in the wo…IEMOCAP: interactive emotional dyadic motion capture database (2008)IEMOCAP: interactive emotiona…Emotional Intelligence and Social Interaction (2004)Emotional Intelligence and So…Individual differences in two emotion regulation processes: Implications for affect, relationships, and well-being. (2003)Individual differences in two…Emotion and sociable humanoid robots (2003)Emotion and sociable humanoid…Toward machine emotional intelligence: analysis of affective physiological state (2001)Toward machine emotional inte…Emotional intelligence meets traditional standards for an intelligence (1999)Emotional intelligence meets …Emotion elicitation using films (1995)Emotion elicitation using fil…Emotional Intelligence (1990)Emotional IntelligenceAffect intensity as an individual difference characteristic: A review (1987)Affect intensity as an indivi…A circumplex model of affect. (1980)A circumplex model of affect.A review on EEG-based multimodal learning for emotion recognition (2025)A review on EEG-based multimo…A Comprehensive Review of Multimodal Emotion Recognition: Techniques, Challenges, and Future Directions (2025)A Comprehensive Review of Mul…Using transformers for multimodal emotion recognition: Taxonomies and state of the art review (2024)Using transformers for multim…Exploring contactless techniques in multimodal emotion recognition: insights into diverse applications, challenges, solutions, and prospects (2024)Exploring contactless techniq…Enhancing emotion recognition using multimodal fusion of physiological, environmental, personal data (2024)Enhancing emotion recognition…EEG-based emotion recognition systems; comprehensive study (2024)EEG-based emotion recognition…A Systematic Review on Multimodal Emotion Recognition: Building Blocks, Current State, Applications, and Challenges (2024)A Systematic Review on Multim…A Comparison of Personalized and Generalized Approaches to Emotion Recognition Using Consumer Wearable Devices: Machine Learning Study (2024)A Comparison of Personalized …Two Birds With One Stone: Knowledge-Embedded Temporal Convolutional Transformer for Depression Detection and Emotion Recognition (2023)Two Birds With One Stone: Kno…Transformer-Based Self-Supervised Multimodal Representation Learning for Wearable Emotion Recognition (2023)Transformer-Based Self-Superv…A systematic survey on multimodal emotion recognition using learning algorithms (2023)A systematic survey on multim…A systematic review on automated human emotion recognition using electroencephalogram signals and artificial intelligence (2023)A systematic review on automa…SigRep: Toward Robust Wearable Emotion Recognition With Contrastive Representation Learning (2022)SigRep: Toward Robust Wearabl…LSTM-Modeling of Emotion Recognition Using Peripheral Physiological Signals in Naturalistic Conversations (2022)LSTM-Modeling of Emotion Reco…CorrNet: Fine-Grained Emotion Recognition for Video Watching Using Wearable Physiological Sensors (2020)CorrNet: Fine-Grained Emotion…Measuring emotion: The self-assessment manikin and the semantic differential (1994)Affective Computing (1997)A Multimodal Database for Affect Recognition and Implicit Tagging (2011)Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks (2015)Self-efficacy: Toward a unifying theory of behavioral change. 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References

  • 1980A circumplex model of affect.16,320 cited
  • 2010The weirdest people in the world?12,599 cited
  • 2003Individual differences in two emotion regulation processes: Implications for affect, relationships, and well-being.11,904 cited
  • 1990Emotional Intelligence10,470 cited
  • 2011DEAP: A Database for Emotion Analysis ;Using Physiological Signals5,082 cited
  • 2008IEMOCAP: interactive emotional dyadic motion capture database3,864 cited
  • 1999Emotional intelligence meets traditional standards for an intelligence2,863 cited
  • 2017AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild2,335 cited
  • 2001Toward machine emotional intelligence: analysis of affective physiological state2,334 cited
  • 1995Emotion elicitation using films2,179 cited
  • 2019MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations1,413 cited
  • 2018Introducing WESAD, a Multimodal Dataset for Wearable Stress and Affect Detection1,356 cited
  • 2003Emotion and sociable humanoid robots1,279 cited
  • 1987Affect intensity as an individual difference characteristic: A review1,168 cited
  • 2017DREAMER: A Database for Emotion Recognition Through EEG and ECG Signals From Wireless Low-cost Off-the-Shelf Devices

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1,130 cited
  • 2004Emotional Intelligence and Social Interaction913 cited
  • Cited by

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    • 2022LSTM-Modeling of Emotion Recognition Using Peripheral Physiological Signals in Naturalistic Conversations70 cited
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