IoT-based approach to multimodal music emotion recognition by Hanbing Zhao, Ling Jin

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Designing an Efficient System for Emotion Recognition Using CNN by Donia Ammous, Achraf Chabbouh, Awatef Edhib, Ahmed Chaari, Fahmi Kammoun, Nouri Masmoudi

“…Implementing an efficient system for emotion recognition has recently posed a challenge that has not been fully developed yet. …”
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The Application and Analysis of Emotion Recognition Based on Modern Technology by Bi Lanxin

“…This article provides a comprehensive analysis of various emotion recognition methods, focusing on speech emotion recognition, facial expression recognition, and physiological signal emotion recognition. …”
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Emotion recognition from speech with StarGAN and Dense‐DCNN by Lu‐Qiao Li, Kai Xie, Xiao‐Long Guo, Chang Wen, Jian‐Biao He

“…Abstract Both traditional and the latest speech emotion recognition methods face the same problem, that is, the lack of standard emotion speech data sets. …”
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Context-Aware Attention Network for Human Emotion Recognition in Video by Xiaodong Liu, Miao Wang

“…Recognition of human emotion from facial expression is affected by distortions of pictorial quality and facial pose, which is often ignored by traditional video emotion recognition methods. On the other hand, context information can also provide different degrees of extra clues, which can further improve the recognition accuracy. …”
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Research on Sarcastic Emotion Recognition Based on Multiple Feature Fusion by Si Kaihao

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Robust CNN for facial emotion recognition and real-time GUI by Imad Ali, Faisal Ghaffar

“…Utilizing a robust architecture of a convolutional neural network (CNN), we designed an efficacious framework for facial emotion recognition that predicts emotions and assigns corresponding probabilities to each fundamental human emotion. …”
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Review on Deep Learning and Neural Network Implementation for Emotions Recognition by Renas Rajab Asaad

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Facial Emotion Recognition in Parkinson's Disease: An fMRI Investigation. by Albert Wabnegger, Rottraut Ille, Petra Schwingenschuh, Petra Katschnig-Winter, Mariella Kögl-Wallner, Karoline Wenzel, Anne Schienle

“…<h4>Background</h4>Findings of behavioral studies on facial emotion recognition in Parkinson's disease (PD) are very heterogeneous. …”
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Conduct Symptoms and Emotion Recognition in Adolescent Boys with Externalization Problems by Nikoletta Aspan, Peter Vida, Julia Gadoros, Jozsef Halasz

“…Less consistent data are available on the emotion recognition in adolescents with externalization problems. …”
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RETRACTED: Emotion recognition and classification based on audio data using AI by Bekenova Sandugash, Bekenova Anargul

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Emotion recognition in conversations based on discourse parsing and graph attention network by HAO Xiulan, WEI Shaohua, CAO Qian, ZHANG Xiongtao

Subjects: “…emotion recognition in conversations…”
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EEG Emotion Recognition Based on Temporal and Spatial Features of Sensitive signals by Zhihao Qu, Xiujuan Zheng

“…Currently, there are some problems in the electrocorticogram (EEG) emotion recognition research, such as single feature, redundant signal, which make it impossible to achieve high-precision recognition accuracy when used a few channel signals. …”
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Meaningful Multimodal Emotion Recognition Based on Capsule Graph Transformer Architecture by Hajar Filali, Chafik Boulealam, Khalid El Fazazy, Adnane Mohamed Mahraz, Hamid Tairi, Jamal Riffi

Subjects: “…emotion recognition…”
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Emotion Recognition on Turkish Mobile Operator Turkcell’s Call Center Calls by Tekin Altun, Hüseyin Tiryaki, Hüseyin Demirci, Yüksel Yurtay

Subjects: “…emotion recognition…”
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Emotion Recognition Using PPG Signals of Smartwatch on Purpose of Threat Detection by Gyuwon Hwang, Sohee Yoo, Jaehyun Yoo

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EEG-RegNet: Regressive Emotion Recognition in Continuous VAD Space Using EEG Signals by Hyo Jin Jon, Longbin Jin, Hyuntaek Jung, Hyunseo Kim, Eun Yi Kim

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Attention-enhanced optimized deep ensemble network for effective facial emotion recognition by Taimoor Khan, Muhammad Yasir, Chang Choi

Subjects: “…Facial emotion recognition…”
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Analyzing the Effect of Badminton on Physical Health and Emotion Recognition on the account of Smart Sensors by Chun Chang, Kaihua Chen, Jianjun Cao, Qian Wu, Hemu Chen

“…Experimental results show that the emotion recognition technology based on smart sensors can well recognize the changes in people’s emotions during badminton sports, and the accuracy of emotion recognition is higher than 70%. …”
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Multi-branch convolutional neural network with cross-attention mechanism for emotion recognition by Fei Yan, Zekai Guo, Abdullah M. Iliyasu, Kaoru Hirota

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