Emotion recognition
Higher trait mindfulness is associated with empathy but not with emotion recognition abilities
... way emotion recognition was ...for recognition, not on the ability to recognize ...and emotion recognition will need to be addressed in future ...
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Changes in social emotion recognition following traumatic frontal lobe injury
... the recognition of statically faces representative of social mental states (admiration, arrogance, seduction, guilt, interest, shame, doubt and curiosity) presented without context [30] ...
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EEG Classification Using Different Feature Extraction Techniques for Emotion Recognition
... recognizing emotion from human brain activity, measured by EEG ...For emotion recognition, Radial Based Function (RBF) is applied to classify the emotional signals and feature extraction techniques ...
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SOFTWARE EFFORT ESTIMATION FRAMEWORK TO IMPROVE ORGANIZATION PRODUCTIVITY USING EMOTION RECOGNITION OF SOFTWARE ENGINEERS IN SPONTANEOUS SPEECH
... improved emotion recognition of software engineers in software industry in the product estimation and measurement to take remedial action by the project ...
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Emotion Recognition from Speech using Prosodic and Linguistic Features
... speech recognition and emotion recognition. For speech recognition, we select different emotional keywords mostly used by children and tag them with emotion classes like if there is ...
7
Age and musical expertise influence emotion recognition in music
... on emotion recognition (see Results), and additional correlation analyses on older participants and for specific emotions also did not yield significant results (ps > ...in emotion ...
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Multimodal approach for emotion recognition based on simulated flight experiments
... perform emotion recognition through the use of a couple of hardware devices and software such as: analysis of emotional properties based on two physiological data such as, ECG and EEG [3]; unified system ...
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Automatic Emotion Recognition in Speech: Possibilities and Significance
... (emotion recognition) into ASR module will increase the reliability of speech recognition and ensure natural and spontaneous human-machine ...
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Emotion Recognition using Dynamic Time Warping Technique for Isolated Words
... DTW [7], [8] is one of the approaches to emotion recognition to store a prototypical version of each word in the vocabulary and compute incoming emotion with each word. First a template of sequence ...
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Impaired emotion recognition is linked to alexithymia in heroin addicts
... about emotion recognition performance in this clinical condition (see Kun & Demetrovics (2010) for a ...studied emotion recognition in four different groups of participants: recently ...
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Comparative Study on Feature Selection and Fusion Schemes for Emotion Recognition from Speech
... We used the UAR measure to compare the performances of the classification approaches because the distribution of the classes in the FAU Aibo Corpus was very unbalanced. Comparing the UAR of the classifiers, instead of ...
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Emotion recognition in Multiple Sclerosis
... patients’ recognition of emotions in facial expressions was negatively associated with higher disability index (Prochnow et al, ...normal recognition of certain emotions (Adolphs et ...impaired ...
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Feature selection for speech emotion recognition in Spanish and Basque: on the use of machine learning to improve human-computer interaction.
... speech recognition systems are related to ...speech recognition systems have been ...multilingual emotion recognition and includes Spanish ...features. Emotion recognition was ...
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Multimodal emotion recognition
... the recognition of facial expressions or though the recognition of emotional speech, in the Human-Computer Interaction (HCI) process, would facilitate the interaction with users: it should be able to ...
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Analysis of softwares for emotion recognition in children and teenagers with autism spectrum disorder
... This integrative literature review was carried out by researching Brazilian and international scientific papers indexed in Periódico Capes, Science Direct, and PubMed using combined keywords “autism” AND “emotion” ...
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Right Limbic FDG-PET Hypometabolism Correlates with Emotion Recognition and Attribution in Probable Behavioral Variant of Frontotemporal Dementia Patients.
... in recognition of basic and complex emotions, social decision-making, comprehension and inference of other’s mental states, maintaining aware- ness of own social behaviour ...facial emotion ...
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THE ROLE OF ARTIST AND GENRE ON MUSIC EMOTION RECOGNITION
... The Multi-modal MIREX-like emotion dataset was developed by Panda et al. (2013) by com- bining information from audio, lyrics and MIDI. The researchers used the MIREX framework to anno- tate 903 thirty-second ...
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Analysis of emotion recognition using facial expressions, using bezier curve
... This research analyze the state of human emotion by using facial muscles movement. the research in this field show that it is feasible to recognize human affective states with high accuracy by the use of Bezier ...
5
From Emotion Recognition to Website Customizations
... When an incoming image arrives a process similar to the one used for the training of the classifier is applied. The face and the eyes are detected resized and cropped, a dense grid of keypoints is applied, the SIFT ...
5
Changes in social emotion recognition following traumatic frontal lobe injury
... According to analysis ( Figure 1 ), the emotion factor exhibited no significant effect [F = 0.10; P = 0.907]. However, the group factor exhibited a significant effect [F = 35.93; P ≤[r] ...
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