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Empathy, Emotion Recognition, and Paranoia in the General Population
Frontiers in Psychology, 2022 BackgroundParanoia is associated with a multitude of social cognitive deficits, observed in both clinical and subclinical populations. Empathy is significantly and broadly impaired in schizophrenia, yet its relationship with subclinical paranoia is ...
Kendall Beals +2 more
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Deep learning-based EEG emotion recognition: Current trends and future perspectives
Frontiers in Psychology, 2023 Automatic electroencephalogram (EEG) emotion recognition is a challenging component of human–computer interaction (HCI). Inspired by the powerful feature learning ability of recently-emerged deep learning techniques, various advanced deep learning models
Xiao-hu Wang +5 more
semanticscholar +1 more source
UniMSE: Towards Unified Multimodal Sentiment Analysis and Emotion Recognition [PDF]
Conference on Empirical Methods in Natural Language Processing, 2022 Multimodal sentiment analysis (MSA) and emotion recognition in conversation (ERC) are key research topics for computers to understand human behaviors.
Guimin Hu +5 more
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M2FNet: Multi-modal Fusion Network for Emotion Recognition in Conversation [PDF]
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2022 Emotion Recognition in Conversations (ERC) is crucial in developing sympathetic human-machine interaction. In conversational videos, emotion can be present in multiple modalities, i.e., audio, video, and transcript.
Vishal M. Chudasama +5 more
semanticscholar +1 more source
Kaohsiung Journal of Medical Sciences, 2022 Emotion recognition deficit is related to impaired community functioning. Loneliness is also associated with impaired social performance. However, the way in which emotion recognition and loneliness may contribute to social functioning remains unclear in
Chia Ning Lee +9 more
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Diagnostics, 2022 The Facial Feedback Hypothesis (FFH) states that facial emotion recognition is based on the imitation of facial emotional expressions and the processing of physiological feedback.
Anna-Maria Kuttenreich +2 more
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GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition [PDF]
IEEE Transactions on Affective Computing, 2022 Previous electroencephalogram (EEG) emotion recognition relies on single-task learning, which may lead to overfitting and learned emotion features lacking generalization.
Yang Li +9 more
semanticscholar +1 more source
Vocal emotion perception in schizophrenia and its diagnostic significance
BMC Psychiatry, 2023 Background Cognitive and emotional impairment are among the core features of schizophrenia; assessment of vocal emotion recognition may facilitate the detection of schizophrenia. We explored the differences between cognitive and social aspects of emotion
Wenxuan Zhao +8 more
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Investigation of the Effect of Increased Dimension Levels in Speech Emotion Recognition
IEEE Access, 2022 In human-machine interaction systems, speech emotion recognition plays a key role. Recognition of categorical emotions has made a great improvement during the last few decades, but emotion recognition of spontaneous speech is still very challenging. This
Haiyan Wang, Xiaohui Zhao, Yanping Zhao
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EmoCaps: Emotion Capsule based Model for Conversational Emotion Recognition [PDF]
Findings, 2022 Emotion recognition in conversation (ERC) aims to analyze the speaker’s state and identify their emotion in the conversation. Recent works in ERC focus on context modeling but ignore the representation of contextual emotional tendency.
Zaijing Li +3 more
semanticscholar +1 more source