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Emotion Intelligence Based on Smart Sensing

Edited by
February 2023
340 pages
  • ISBN978-3-0365-6646-7 (Hardback)
  • ISBN978-3-0365-6647-4 (PDF)
https://doi.org/10.3390/books978-3-0365-6647-4
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This book is a reprint of the Special Issue Emotion Intelligence Based on Smart Sensing that was published in

Chemistry & Materials Science
Engineering
Environmental & Earth Sciences
Summary

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).

Format
  • Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
speech emotion recognition; domain adaptation; SER generalization; Korean Emotional Speech Database; ensemble model; multi-path; group-loss; BLSTM network; facial micromovement; emotion recognition; emotion authenticity; HRV parameter; game addiction; League of Legends; stress response; sensitivity; specificity; logistic regression; facial action unit; facial aging; facial expression; posed emotion; virtual avatar; virtual human; virtual character; embodied conversational agent; social interaction; empathy; CNN; cognitive workload; functional connectivity analysis; LSTM; mental workload; mutual information; phase locking value; phase transfer entropy; deep learning; facial expression recognition (FER); 3D convolutional neural network (3D CNN); multirate signal processing; minimum overlapped frame structure; self-attention; multi-depth network; video content empathy; micro-movement synchronization; non-contact empathy measurement; empathic advertisement; multimodal affective computing; catecholamines; emotion classification; wearable devices; deep neural networks; multispectral imaging; face recognition; in the wild; driver emotion recognition; multimodal; self-report; real-world driving; EEG; learning emotions; emotion recognition; attention; convolutional neural network; multi-channel band features; emotion recognition; attention; eye movement; brain connectivity; review; human emotions; affective and physiological states; Plutchik’s wheel of emotions; sensors; methods and applications; statistical and multiple criteria analysis; country success and publications maps of the world; n/a