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230515 ||| eng |
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|a 9783036566467
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|a books978-3-0365-6647-4
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|a 9783036566474
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| 100 |
1 |
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|a Whang, Mincheol
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| 245 |
0 |
0 |
|a Emotion Intelligence Based on Smart Sensing
|h Elektronische Ressource
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| 260 |
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|a Basel
|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2023
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| 300 |
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|a 1 electronic resource (340 p.)
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| 653 |
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|a embodied conversational agent
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| 653 |
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|a brain connectivity
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| 653 |
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|a Plutchik's wheel of emotions
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| 653 |
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|a emotion authenticity
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| 653 |
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|a logistic regression
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| 653 |
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|a phase locking value
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| 653 |
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|a learning emotions
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| 653 |
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|a eye movement
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| 653 |
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|a multi-channel band features
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| 653 |
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|a multispectral imaging
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| 653 |
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|a multimodal
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| 653 |
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|a virtual human
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| 653 |
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|a n/a
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| 653 |
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|a emotion classification
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| 653 |
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|a deep learning
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| 653 |
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|a posed emotion
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| 653 |
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|a multi-path
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| 653 |
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|a HRV parameter
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| 653 |
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|a micro-movement synchronization
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| 653 |
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|a SER generalization
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| 653 |
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|a facial expression
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| 653 |
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|a wearable devices
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| 653 |
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|a History of engineering & technology / bicssc
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| 653 |
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|a review
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| 653 |
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|a LSTM
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| 653 |
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|a deep neural networks
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| 653 |
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|a Technology: general issues / bicssc
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| 653 |
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|a emotion recognition
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| 653 |
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|a multi-depth network
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| 653 |
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|a in the wild
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| 653 |
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|a social interaction
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| 653 |
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|a speech emotion recognition
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| 653 |
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|a 3D convolutional neural network (3D CNN)
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| 653 |
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|a League of Legends
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| 653 |
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|a multimodal affective computing
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| 653 |
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|a minimum overlapped frame structure
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| 653 |
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|a group-loss
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| 653 |
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|a virtual character
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| 653 |
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|a virtual avatar
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| 653 |
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|a facial action unit
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| 653 |
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|a empathic advertisement
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| 653 |
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|a sensitivity
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| 653 |
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|a functional connectivity analysis
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| 653 |
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|a video content empathy
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| 653 |
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|a multirate signal processing
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| 653 |
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|a empathy
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| 653 |
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|a human emotions
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| 653 |
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|a specificity
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| 653 |
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|a statistical and multiple criteria analysis
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| 653 |
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|a EEG
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| 653 |
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|a facial micromovement
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| 653 |
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|a self-attention
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| 653 |
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|a stress response
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| 653 |
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|a methods and applications
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| 653 |
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|a domain adaptation
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| 653 |
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|a mental workload
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| 653 |
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|a CNN
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| 653 |
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|a phase transfer entropy
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| 653 |
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|a non-contact empathy measurement
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| 653 |
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|a catecholamines
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| 653 |
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|a affective and physiological states
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| 653 |
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|a self-report
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| 653 |
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|a sensors
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| 653 |
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|a face recognition
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| 653 |
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|a country success and publications maps of the world
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| 653 |
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|a game addiction
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| 653 |
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|a facial expression recognition (FER)
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| 653 |
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|a cognitive workload
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| 653 |
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|a convolutional neural network
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| 653 |
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|a real-world driving
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| 653 |
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|a Korean Emotional Speech Database
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| 653 |
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|a facial aging
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| 653 |
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|a ensemble model
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| 653 |
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|a driver emotion recognition
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| 653 |
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|a BLSTM network
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| 653 |
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|a attention
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| 653 |
|
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|a mutual information
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| 700 |
1 |
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|a Park, Sung
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| 700 |
1 |
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|a Whang, Mincheol
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| 700 |
1 |
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|a Park, Sung
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
|
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|b DOAB
|a Directory of Open Access Books
|
| 500 |
|
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|a Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
|
| 028 |
5 |
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|a 10.3390/books978-3-0365-6647-4
|
| 856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/98051
|z DOAB: description of the publication
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| 856 |
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0 |
|u https://www.mdpi.com/books/pdfview/book/6798
|7 0
|x Verlag
|3 Volltext
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|a 900
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|a 658
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|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).
|