Results 11 to 20 of about 540,403 (319)
A Survey on Physiological Signal-Based Emotion Recognition
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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Hierarchical Network with Label Embedding for Contextual Emotion Recognition
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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Electroencephalogram Emotion Recognition Based on 3D Feature Fusion and Convolutional Autoencoder
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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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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Reconceptualizing Emotion Recognition Ability
Emotion decoding accuracy (EDA) plays a central role within the emotional intelligence (EI) ability model. The EI-ability perspective typically assumes personality antecedents and social outcomes of EI abilities, yet, traditionally, there has been very limited research to support this contention.
Konstantinos Kafetsios, Ursula Hess
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Facial Emotion Recognition in Patients with Post-Paralytic Facial Synkinesis—A Present Competence
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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The development of emotion recognition from facial expressions and non-linguistic vocalizations during childhood [PDF]
Sensitivity to facial and vocal emotion is fundamental to children's social competence. Previous research has focused on children's facial emotion recognition, and few studies have investigated non-linguistic vocal emotion processing in childhood.
Barrera +58 more
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Expression-EEG Based Collaborative Multimodal Emotion Recognition Using Deep AutoEncoder
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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Emotion recognition using imperfect speech recognition [PDF]
This paper investigates the use of speech-to-text methods for assigning an emotion class to a given speech utterance. Previous work shows that an emotion extracted from text can convey complementary evidence to the information extracted by classifiers based on spectral, or other non-linguistic features.
Metze, Florian +5 more
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Damage to Association Fiber Tracts Impairs Recognition of the Facial Expression of Emotion [PDF]
An array of cortical and subcortical structures have been implicated in the recognition of emotion from facial expressions. It remains unknown how these regions communicate as parts of a system to achieve recognition, but white matter tracts are likely ...
Adolphs, Ralph +4 more
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