The SEMAINE Database: Annotated Multimodal Records of Emotionally Colored Conversations between a Person and a Limited Agent

McKeown, G., Valstar, M., Cowie, R., Pantic, M., Schroder, M.·2012·IEEE Transactions on Affective Computing

Cited by (664)

Items 101–200 of 664

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  9. Inter-rater reliability for emotion annotation in human–computer interaction: comparison and methodological improvements
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  16. A Survey on Human Emotion Recognition Approaches, Databases and Applications
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  24. Grounding truth via ordinal annotation
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  25. The Mirror to Our Soul? Comparisons of Spontaneous and Posed Vocal Expression of Emotion
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  28. Survey on multimodal approaches to emotion recognition
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  36. Real time speech emotion recognition using RGB image classification and transfer learning
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    Han, Jing, Zhang, Zixing, Cummins, Nicholas, Ringeval, Fabien, Schuller, Björn · 2017 · Image and Vision Computing
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  48. Temporal Bayesian Fusion for Affect Sensing: Combining Video, Audio, and Lexical Modalities
    Savran, Arman, Houwei Cao, Nenkova, Ani, Verma, Ragini · 2015 · IEEE Transactions on Cybernetics
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    Sebastian Kaltwang, Siniša Todorović, Maja Pantić · 2015 · IEEE Transactions on Pattern Analysis and Machine Intelligence
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    Feng Zhou, Shu Kong, Charless C. Fowlkes, Tao Chen, Baiying Lei · 2020 · Neurocomputing
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    Magalie Ochs, Catherine Pélachaud, Gary John McKeown · 2017 · ACM Transactions on Interactive Intelligent Systems
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    Patrícia Pereira, Helena Moniz, João Paulo Carvalho · 2024 · Artificial Intelligence Review
  58. Discriminant multi-label manifold embedding for facial Action Unit detection
    Anıl Yüce, Hua Gao, Jean‐Philippe Thiran · 2015 · International Conference on Automatic Face and Gesture Recognition
  59. BAUM-2: a multilingual audio-visual affective face database
    Çiğdem Eroğlu Erdem, Cigdem Turan, Zafer Aydın · 2014 · Multimedia Tools and Applications
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  62. Macro- and Micro-Expressions Facial Datasets: A Survey
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  64. Deep Personality Trait Recognition: A Survey
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  68. A Review on Facial Micro-Expressions Analysis: Datasets, Features and Metrics
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  70. Hierarchical Pre-training for Sequence Labelling in Spoken Dialog
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  71. A Review of Emotion Recognition Methods from Keystroke, Mouse, and Touchscreen Dynamics
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  73. Review on Emotion Recognition Databases
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  74. Robust Correlated and Individual Component Analysis
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  75. Positive Emotion Elicitation in Chat-Based Dialogue Systems
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  76. A Survey on Databases for Multimodal Emotion Recognition and an Introduction to the VIRI (Visible and InfraRed Image) Database
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  77. Facial Affect “In-the-Wild”: A Survey and a New Database
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  78. Adaptive Real-Time Emotion Recognition from Body Movements
    Weiyi Wang, Valentin Enescu, Hichem Sahli B · 2015 · ACM Transactions on Interactive Intelligent Systems
  79. Gtrace: General Trace Program Compatible with EmotionML
    Roddy Cowie, Martin Sawey, Cian Doherty, Javier Jaimovich, Cavan Fyans, Paul Stapleton · 2013 · International Conference on Affective Computing and Intelligent Interaction and workshops
  80. Pose-Independent Facial Action Unit Intensity Regression Based on Multi-Task Deep Transfer Learning
    Yuqian Zhou, Jimin Pi, Bertram Emil Shi · 2017 · International Conference on Automatic Face and Gesture Recognition
  81. Predicting Depression and Emotions in the Cross-roads of Cultures, Para-linguistics, and Non-linguistics
    Heysem Kaya, Dmitrii Fedotov, Denis Dresvyanskiy, Metehan Doyran, Danila Mamontov, Maxim Markitantov, Alkim Almila Akdag Salah, Evrim Kavcar, Alexey Anatolievich Karpov, Albert Ali Salah · 2019
  82. An EEG Database and Its Initial Benchmark Emotion Classification Performance
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  83. MEmoR: A Dataset for Multimodal Emotion Reasoning in Videos
    Guangyao Shen, Xin Yue Wang, Xuguang Duan, Hongzhi Li, Wenwu Zhu · 2020 · ACM International Conference on Multimedia (ACM MM)
  84. A multi-modal driver emotion dataset and study: Including facial expressions and synchronized physiological signals
    Guoliang Xiang, Song Yao, Hanwen Deng, Xianhui Wu, Xinghua Wang, Qian Xu, Tianjian Yu, Kui Wang, Yong Long Peng · 2023 · Engineering Applications of Artificial Intelligence
  85. Multimodal data collection of human-robot humorous interactions in the Joker project
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  86. EmoTour: Estimating Emotion and Satisfaction of Users Based on Behavioral Cues and Audiovisual Data
    Yuki Matsuda, Dmitrii Fedotov, Yuta Takahashi, Yutaka Arakawa, Keiichi Yasumoto, Wolfgang Minker · 2018 · Sensors
  87. Review of automated depression detection: Social posts, audio and video, open challenges and future direction
    Uma Yadav, Ashish Kumar Sharma, Dipti Patil · 2022 · Concurrency and Computation Practice and Experience
  88. Motion Tracker: Camera-Based Monitoring of Bodily Movements Using Motion Silhouettes
    Jacqueline M. Kory-Westlund, Sidney K. D’Mello, Andrew McGregor Olney · 2015 · PLoS ONE
  89. BiERU: Bidirectional Emotional Recurrent Unit for Conversational Sentiment Analysis
    Wei Li, Wei Shao, Shaoxiong Ji, Erik Cambria · 2020 · arXiv (Cornell University)
  90. Inference of Human Beings’ Emotional States from Speech in Human–Robot Interactions
    Laurence Y. Devillers, Marie Tahon, Mohamed A. Sehili, Agnès Delaborde · 2015 · International Journal of Social Robotics
  91. Local Zernike Moment Representation for Facial Affect Recognition
    Evangelos Sarıyanidi, Hatice Güneş, Muhittin Gökmen, Andrea Cavallaro · 2013 · British Machine Vision Conference (BMVC)
  92. A Globally-Variant Locally-Constant Model for Fusion of Labels from Multiple Diverse Experts without Using Reference Labels
    Kartik Audhkhasi, Shrikanth Shri Narayanan · 2012 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  93. Facial action unit recognition under incomplete data based on multi-label learning with missing labels
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  94. BNU-LSVED 2.0: Spontaneous multimodal student affect database with multi-dimensional labels
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  96. Attending to Attention
    Sidney K. D’Mello, Kristopher J. Kopp, Robert Bixler, Nigel Bosch · 2016 · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA)
  97. Emotion Recognition in Conversations Using Brain and Physiological Signals
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  98. Survey of deep emotion recognition in dynamic data using facial, speech and textual cues
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  99. Recognition of learning-centered emotions using a convolutional neural network
    Francisco González-Hernández, Ramón Zataraín Cabada, María Lucía Barrón Estrada, Hector Rodriguez-Rangel · 2018 · Journal of Intelligent & Fuzzy Systems
  100. Emotionally-Aware Chatbots: A Survey
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