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Towards multimodal emotion recognition in e-learning environments
7 references·12 citing·47 second hop
Towards multimodal emotion recognition in e-learning environments (2014)Towards multimodal emotion recognition in…Empathic reactions of younger and older adults: No age related decline in affective responding (2013)Empathic reactions of younger…Face Expression Recognition and Analysis: The State of the Art (2012)Face Expression Recognition a…A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)A Survey of Affect Recognitio…Affective multimodal human-computer interaction (2005)Affective multimodal human-co…Affective Computing: A Review (2005)Affective Computing: A ReviewThe Impact of Emotions on Learning and Achievement: Towards a Theory of Cognitive/Motivational Mediators (1992)The Impact of Emotions on Lea…The Measurement of Observer Agreement for Categorical Data (1977)The Measurement of Observer A…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…Bridging computer and education sciences: A systematic review of automated emotion recognition in online learning environments (2024)Bridging computer and educati…A Systematic Review on Multimodal Emotion Recognition: Building Blocks, Current State, Applications, and Challenges (2024)A Systematic Review on Multim…Real-time emotional health detection using fine-tuned transfer networks with multimodal fusion (2022)Real-time emotional health de…Real-Time Emotion Classification Using EEG Data Stream in E-Learning Contexts (2021)Real-Time Emotion Classificat…GA-SVM-Based Facial Emotion Recognition Using Facial Geometric Features (2020)GA-SVM-Based Facial Emotion R…Recognition of Emotion Intensities Using Machine Learning Algorithms: A Comparative Study (2019)Recognition of Emotion Intens…Comparative study on emotions analysis from facial expressions in children with and without learning disabilities in virtual learning environment (2019)Comparative study on emotions…Feature fusion methods research based on deep belief networks for speech emotion recognition under noise condition (2017)Feature fusion methods resear…Towards real-time speech emotion recognition for affective e-learning (2015)Towards real-time speech emot…Games are motivating, aren´t they? Disputing the arguments for digital game-based learning (2015)Games are motivating, aren´t …Facial Action Coding System (1978)The Cognitive Structure of Emotions (1988)Affective Computing (1997)Speech emotion recognition: Features and classification models (2012)Affective computing in education: A systematic review and future research (2019)Deep learning-based facial emotion recognition for human–computer interaction applications (2021)The expression of the emotions in man and animals. (1872)Constants across cultures in the face and emotion. (1971)DeXpression: Deep Convolutional Neural Network for Expression Recognition (2015)A Survey of Automatic Facial Micro-Expression Analysis: Databases, Methods, and Challenges (2018)Eyemotion: Classifying Facial Expressions in VR Using Eye-Tracking Cameras (2019)The Repertoire of Nonverbal Behavior: Categories, Origins, Usage, and Coding (1969)Handbook of Emotions (1993)A Bimodal Face and Body Gesture Database for Automatic Analysis of Human Nonverbal Affective Behavior (2006)Emotion Recognition Based on Joint Visual and Audio Cues (2006)How to distinguish posed from spontaneous smiles using geometric features (2007)Helplessness: On Depression, Development, and Death (1975)An attributional theory of achievement motivation and emotion. (1985)Positive affect facilitates creative problem solving. (1987)Interest: A unique motivational variable (2006)Visitors’ memories of wildlife tourism: Implications for the design of powerful interpretive experiences (2010)Emotional design in multimedia learning. (2011)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)A Multimodal Database for Affect Recognition and Implicit Tagging (2011)Deep Facial Expression Recognition: A Survey (2020)A Coefficient of Agreement for Nominal Scales (1960)Guidelines, criteria, and rules of thumb for evaluating normed and standardized assessment instruments in psychology. (1994)Schedule for Affective Disorders and Schizophrenia for School-Age Children-Present and Lifetime Version (K-SADS-PL): Initial Reliability and Validity Data (1997)The feasibility of creating a checklist for the assessment of the methodological quality both of randomised and non-randomised studies of health care interventions. (1998)Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement (2015)RoB 2: a revised tool for assessing risk of bias in randomised trials (2019)A circumplex model of affect. (1980)Intrinsic and Extrinsic Motivations: Classic Definitions and New Directions (2000)تنظيم الذات لدى أطفال ما قبل المدرسة المعرضين لخطر صعوبات التعلم غير اللفظية وأقرانهم العاديين (2022)Enhancing Facial Expression Recognition System in Online Learning Context Using Efficient Deep Learning Model (2023)An Inventory for Measuring Depression (1961)User Acceptance of Information Technology: Toward A Unified View1 (2003)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Multimodal Emotion Recognition Using Visual, Vocal and Physiological Signals: A Review (2024)An argument for basic emotions (1992)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement (2010)End-to-End Multimodal Emotion Recognition Using Deep Neural Networks (2017)EmotionMeter: A Multimodal Framework for Recognizing Human Emotions (2018)ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection (2018)
this work references cited by second hop

References

  • 1977The Measurement of Observer Agreement for Categorical Data81,000 cited
  • 2008A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions2,797 cited
  • 1992The Impact of Emotions on Learning and Achievement: Towards a Theory of Cognitive/Motivational Mediators691 cited
  • 2005Affective Computing: A Review511 cited
  • 2012Face Expression Recognition and Analysis: The State of the Art272 cited
  • 2005Affective multimodal human-computer interaction235 cited
  • 2013Empathic reactions of younger and older adults: No age related decline in affective responding61 cited

Cited by

  • 2024A Systematic Review on Multimodal Emotion Recognition: Building Blocks, Current State, Applications, and Challenges138 cited
  • 2025A review on EEG-based multimodal learning for emotion recognition127 cited
  • 2025A Comprehensive Review of Multimodal Emotion Recognition: Techniques, Challenges, and Future Directions114 cited
  • 2019Comparative study on emotions analysis from facial expressions in children with and without learning disabilities in virtual learning environment82 cited
  • 2019Recognition of Emotion Intensities Using Machine Learning Algorithms: A Comparative Study79 cited
  • 2024Bridging computer and education sciences: A systematic review of automated emotion recognition in online learning environments79 cited

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2020
GA-SVM-Based Facial Emotion Recognition Using Facial Geometric Features
77 cited
  • 2017Feature fusion methods research based on deep belief networks for speech emotion recognition under noise condition77 cited
  • 2021Real-Time Emotion Classification Using EEG Data Stream in E-Learning Contexts72 cited
  • 2022Real-time emotional health detection using fine-tuned transfer networks with multimodal fusion69 cited
  • 2015Games are motivating, aren´t they? Disputing the arguments for digital game-based learning66 cited
  • 2015Towards real-time speech emotion recognition for affective e-learning55 cited