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Emotion-wise feature interaction analysis-based visual emotion distribution learning
Image emotion is not exclusive, which makes emotion distribution learning more meaningful than emotion classification for visual emotion recognition....
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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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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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Personality Enhanced Emotion Generation Modeling for Dialogue Systems
Emotion plays a crucial role in human communication, as it adds depth and richness to conversations. In recent years, there has been growing interest...
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Pairwise-Emotion Data Distribution Smoothing for Emotion Recognition
In speech emotion recognition tasks, models learn emotional representations from datasets. We find the data distribution in the IEMOCAP dataset is...
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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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Emotion-Aware Music Driven Movie Montage
In this paper, we present Emotion-Aware Music Driven Movie Montage, a novel paradigm for the challenging task of generating movie montages....
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Incorporating structured emotion commonsense knowledge and interpersonal relation into context-aware emotion recognition
Traditional emotion recognition technology often focuses on recognizing human biometrics such as facial expressions or body postures. However,...
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E-textiles for emotion interaction: a sco** review of trends and opportunities
There has been a proliferation of emotion-related interactive textiles in recent years. This research conducted a comprehensive sco** review of the...
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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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Emotion-cause pair extraction with bidirectional multi-label sequence tagging
Emotion-cause pair extraction (ECPE) is a challenging natural language understanding task that aims to extract all potential emotion-cause clause...
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A supervised contrastive learning-based model for image emotion classification
Images play a vital role in social media platforms, which can more vividly reflect people’s inner emotions and preferences, so visual sentiment...
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Multimodal dual emotion with fusion of visual sentiment for rumor detection
In recent years, widely spreading rumors have brought devastating impacts on society, making rumor detection a significant challenge. Exsisting...
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Mining association between different emotion classes present in users posts of social media
Emotion analysis is a specialized aspect of sentiment analysis that involves assessing and comprehending the emotions conveyed within textual data....
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HDEL: a hierarchical deep ensemble approach for text-based emotion detection
Emotion detection from social media data plays a crucial role in studying societal emotions concerning different events, aiding in predicting the...
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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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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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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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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...
