Results 21 to 30 of about 71,334 (264)
Frontiers in Psychology, 2022 Financial market and economic growth and development trends can be regarded as an extremely complex system, and the in-depth study and prediction of this complex system has always been the focus of attention of economists and other scholars.
Dahai Wang, Bing Li, Xuebo Yan
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Hierarchical Network with Label Embedding for Contextual Emotion Recognition
Research, 2021 Emotion recognition has been used widely in various applications such as mental health monitoring and emotional management. Usually, emotion recognition is regarded as a text classification task.
Jiawen Deng, Fuji Ren
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A Survey on Physiological Signal-Based Emotion Recognition
Bioengineering, 2022 Physiological signals are the most reliable form of signals for emotion recognition, as they cannot be controlled deliberately by the subject. Existing review papers on emotion recognition based on physiological signals surveyed only the regular steps ...
Zeeshan Ahmad, Naimul Khan
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Electroencephalogram Emotion Recognition Based on 3D Feature Fusion and Convolutional Autoencoder
Frontiers in Computational Neuroscience, 2021 As one of the key technologies of emotion computing, emotion recognition has received great attention. Electroencephalogram (EEG) signals are spontaneous and difficult to camouflage, so they are used for emotion recognition in academic and industrial ...
Yanling An +7 more
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Facial Emotion Recognition in Patients with Post-Paralytic Facial Synkinesis—A Present Competence
Diagnostics, 2022 Facial palsy is a movement disorder with impacts on verbal and nonverbal communication. The aim of this study is to investigate the effects of post-paralytic facial synkinesis on facial emotion recognition.
Anna-Maria Kuttenreich +4 more
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Expression-EEG Based Collaborative Multimodal Emotion Recognition Using Deep AutoEncoder
IEEE Access, 2020 Emotion recognition has shown many valuable roles in people's lives under the background of artificial intelligence technology. However, most existing emotion recognition methods have poor recognition performance, which prevents their promotion in ...
Hongli Zhang
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Hybrid transfer learning strategy for cross-subject EEG emotion recognition
Frontiers in Human Neuroscience, 2023 Emotion recognition constitutes a pivotal research topic within affective computing, owing to its potential applications across various domains. Currently, emotion recognition methods based on deep learning frameworks utilizing electroencephalogram (EEG)
Wei Lu +5 more
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A Parallel-Model Speech Emotion Recognition Network Based on Feature Clustering
IEEE Access, 2023 Speech Emotion Recognition (SER) is a common aspect of human-computer interaction and has significant applications in fields such as healthcare, education, and elder care.
Li-Min Zhang +3 more
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Facial expression recognition via ResNet-50
International Journal of Cognitive Computing in Engineering, 2021 As one of the most important directions in the field of computer vision, facial emotion recognition plays an important role in people's daily work and life. Human emotion recognition based on facial expressions is of great significance in the application
Bin Li, Dimas Lima
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Emotion recognition in the wild
Journal on Multimodal User Interfaces, 2016 n ...
Abhinav Dhall +3 more
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