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Philosophical Lessons for Emotion Recognition Technology
Emotion recognition technology uses artificial intelligence to make inferences about a person’s emotions, on the basis of their facial expressions,...
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Auditive Emotion Recognition for Empathic AI-Assistants
This paper briefly introduces the Project “AudEeKA”, whose aim is to use speech and other bio signals for emotion recognition to improve remote, but...
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Harmonious Mutual Learning for Facial Emotion Recognition
Facial emotion recognition in the wild is an important task in computer vision, but it still remains challenging since the influence of backgrounds,...
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Single Modality and Joint Fusion for Emotion Recognition on RAVDESS Dataset
Over the last decade, emotion recognition has become a widely researched area worth considering in any project related to affective computing. Due to...
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Multi-language: ensemble learning-based speech emotion recognition
Inaccurate emotional reactions from robots have been a problem for authors in previous years. Since technology has advanced, robots like service...
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Gated transformer network based EEG emotion recognition
Multi-channel Electroencephalogram (EEG) based emotion recognition is focused on several analysis of frequency bands of the acquired signals. In this...
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Emotion recognition based on brain-like multimodal hierarchical perception
Emotion recognition has gained prominence in diverse applications ranging from safe driving and e-commerce to healthcare. Traditional approaches have...
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A Real-time Multimodal Intelligent Tutoring Emotion Recognition System (MITERS)
Emotion recognition can be used in a wide range of applications. We are interested in the E-learning system because of the several benefits of...
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Meta-transfer learning for emotion recognition
Deep learning has been widely adopted in automatic emotion recognition and has lead to significant progress in the field. However, due to...
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Fusing facial and speech cues for enhanced multimodal emotion recognition
Emotion recognition is a technology that enables computers to recognize and interpret human emotions by analyzing facial expressions, voice, text or...
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Concept-guided multi-level attention network for image emotion recognition
Image emotion recognition aims to predict people’s emotional response toward visual stimuli. Recently, emotional region discovery has become hot...
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COSMIC: Music emotion recognition combining structure analysis and modal interaction
As a common multi-modal information carrier, music is frequently used to deliver emotions with lyrics and melodies. Besides lyrics (text) and...
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Semantic-wise guidance for efficient multimodal emotion recognition with missing modalities
Emotions play an important role in human–computer interaction. Multimodal emotion recognition combines feature information from different modalities...
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A Three-stage multimodal emotion recognition network based on text low-rank fusion
Multimodal emotion recognition has achieved good results in emotion recognition tasks by fusing multimodal information such as audio, text, and...
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Group emotion recognition based on psychological principles using a fuzzy system
In recent times, group emotion recognition has attracted considerable research attention, and diverse applications such as situation-aware models and...
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A comprehensive survey on emotion recognition based on electroencephalograph (EEG) signals
Emotion recognition using electroencephalography (EEG) is becoming an interesting topic among researchers. It has made a remarkable entry in the...
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Facial Emotion Recognition in-the-Wild Using Deep Neural Networks: A Comprehensive Review
Facial expressions are a crucial aspect of human communication that provide information about emotions, intentions, interactions, and social...
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Speech based emotion recognition by using a faster region-based convolutional neural network
Automatic emotion identification from speech is a difficult problem that significantly depends on the accuracy of the speech characteristics employed...
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Diversity subspace generation based on feature selection for speech emotion recognition
Automatic emotion recognition from speech signals is an important research area. Many speech emotion recognition (SER) methods have been proposed,...
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Unveiling hidden factors: explainable AI for feature boosting in speech emotion recognition
Speech emotion recognition (SER) has gained significant attention due to its several application fields, such as mental health, education, and...
