Emotion Intelligence Based on Smart Sensing

This Special Issue explores empirical studies of emotional mechanisms, qualitative and quantitative measurements of emotion, the recognition of emotional contexts, and the application of emotion. We introduce fourteen papers, ranging from lab-based studies aimed at understanding emotional mechanisms...

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Bibliographic Details
Other Authors: Whang, Mincheol (Editor), Park, Sung (Editor)
Format: Electronic Book Chapter
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
Subjects:
CNN
EEG
n/a
Online Access:DOAB: download the publication
DOAB: description of the publication
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245 1 0 |a Emotion Intelligence Based on Smart Sensing 
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520 |a This Special Issue explores empirical studies of emotional mechanisms, qualitative and quantitative measurements of emotion, the recognition of emotional contexts, and the application of emotion. We introduce fourteen papers, ranging from lab-based studies aimed at understanding emotional mechanisms to applying emotion recognition in the real world (e.g., in driving, games, education, and virtual avatars). This Special Issue explores empirical studies of emotional mechanisms, qualitative and quantitative measurements of emotion, the recognition of emotional contexts, and the application of emotion. We introduce fourteen papers, ranging from lab-based studies aimed at understanding emotional mechanisms to applying emotion recognition in the real world (e.g., in driving, games, education, and virtual avatars). 
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546 |a English 
650 7 |a Technology: general issues  |2 bicssc 
650 7 |a History of engineering & technology  |2 bicssc 
653 |a speech emotion recognition 
653 |a domain adaptation 
653 |a SER generalization 
653 |a Korean Emotional Speech Database 
653 |a ensemble model 
653 |a multi-path 
653 |a group-loss 
653 |a BLSTM network 
653 |a facial micromovement 
653 |a emotion recognition 
653 |a emotion authenticity 
653 |a HRV parameter 
653 |a game addiction 
653 |a League of Legends 
653 |a stress response 
653 |a sensitivity 
653 |a specificity 
653 |a logistic regression 
653 |a facial action unit 
653 |a facial aging 
653 |a facial expression 
653 |a posed emotion 
653 |a virtual avatar 
653 |a virtual human 
653 |a virtual character 
653 |a embodied conversational agent 
653 |a social interaction 
653 |a empathy 
653 |a CNN 
653 |a cognitive workload 
653 |a functional connectivity analysis 
653 |a LSTM 
653 |a mental workload 
653 |a mutual information 
653 |a phase locking value 
653 |a phase transfer entropy 
653 |a deep learning 
653 |a facial expression recognition (FER) 
653 |a 3D convolutional neural network (3D CNN) 
653 |a multirate signal processing 
653 |a minimum overlapped frame structure 
653 |a self-attention 
653 |a multi-depth network 
653 |a video content empathy 
653 |a micro-movement synchronization 
653 |a non-contact empathy measurement 
653 |a empathic advertisement 
653 |a multimodal affective computing 
653 |a catecholamines 
653 |a emotion classification 
653 |a wearable devices 
653 |a deep neural networks 
653 |a multispectral imaging 
653 |a face recognition 
653 |a in the wild 
653 |a driver emotion recognition 
653 |a multimodal 
653 |a self-report 
653 |a real-world driving 
653 |a EEG 
653 |a learning emotions 
653 |a attention 
653 |a convolutional neural network 
653 |a multi-channel band features 
653 |a eye movement 
653 |a brain connectivity 
653 |a review 
653 |a human emotions 
653 |a affective and physiological states 
653 |a Plutchik's wheel of emotions 
653 |a sensors 
653 |a methods and applications 
653 |a statistical and multiple criteria analysis 
653 |a country success and publications maps of the world 
653 |a n/a 
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856 4 0 |a www.oapen.org  |u https://directory.doabooks.org/handle/20.500.12854/98771  |7 0  |z DOAB: description of the publication