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220822 ||| eng |
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|a 9783036518022
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|a 9783036518015
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|a books978-3-0365-1801-5
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|a Banos, Oresti
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|a Ubiquitous Technologies for Emotion Recognition
|h Elektronische Ressource
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| 260 |
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|a Basel, Switzerland
|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2021
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| 300 |
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|a 1 electronic resource (174 p.)
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| 653 |
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|a driver health risk
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|a EEG signal
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|a machine learning
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|a supervised learning
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|a intelligent speech signal processing
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|a logistic regression
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|a video processing
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|a Laplacian prior
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|a consumer preferences
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|a micro facial expressions
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|a electroencephalogram (EEG)
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|a support vector machine (SVR)
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|a line segment feature analysis
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|a image-mining
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|a image processing
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|a human computer interaction
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|a mobile tool
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|a deep learning
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|a convolutional recurrent neural network
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|a advanced driver-assistance systems (ADAS)
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|a thermal IR imaging
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|a neuromarketing
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|a emotion recognition
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|a brain computer interface (BCI)
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|a facial expression analysis
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|a social robots
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|a Information technology industries / bicssc
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|a facial recognition
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|a dimensionality reduction
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|a deep convolutional neural network
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|a deep neural network (DNN)
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|a optical flow
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|a IR imaging
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|a real-time processing
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|a driver stress state
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|a texture descriptors
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|a computer vision
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|a artificial intelligence
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|a affective computing
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|a Gaussian kernel
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|a pattern recognition
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|a self-management interview application
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|a human-robot interaction
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|a emotion analysis
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| 700 |
1 |
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|a Castro, Luis A.
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|a Villalonga, Claudia
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|a Banos, Oresti
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|a eng
|2 ISO 639-2
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|b DOAB
|a Directory of Open Access Books
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| 500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
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|a 10.3390/books978-3-0365-1801-5
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|u https://directory.doabooks.org/handle/20.500.12854/76689
|z DOAB: description of the publication
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|u https://www.mdpi.com/books/pdfview/book/4136
|7 0
|x Verlag
|3 Volltext
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|a Emotions play a very important role in how we think and behave. As such, the emotions we feel every day can compel us to act and influence the decisions and plans we make about our lives. Being able to measure, analyze, and better comprehend how or why our emotions may change is thus of much relevance to understand human behavior and its consequences. Despite the great efforts made in the past in the study of human emotions, it is only now, with the advent of wearable, mobile, and ubiquitous technologies, that we can aim to sense and recognize emotions, continuously and in real time. This book brings together the latest experiences, findings, and developments regarding ubiquitous sensing, modeling, and the recognition of human emotions.
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