Ubiquitous Technologies for Emotion Recognition
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 relevan...
Պահպանված է:
| Ձևաչափ: | Online |
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| Լեզու: | անգլերեն |
| Հրապարակվել է: |
MDPI - Multidisciplinary Digital Publishing Institute
2022
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| Խորագրեր: | |
| Առցանց հասանելիություն: | ONIX_20220111_9783036518022_424 |
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Չկան պիտակներ, Եղեք առաջինը, ով նշում է այս գրառումը!
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| _version_ | 1869529720529354752 |
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| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-76689 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-766892024-03-30T12:51:18Z Ubiquitous Technologies for Emotion Recognition Banos, Oresti Castro, Luis A. Villalonga, Claudia self-management interview application emotion analysis facial recognition image-mining deep convolutional neural network emotion recognition pattern recognition texture descriptors mobile tool neuromarketing brain computer interface (BCI) consumer preferences EEG signal deep learning deep neural network (DNN) electroencephalogram (EEG) logistic regression Gaussian kernel Laplacian prior affective computing human–robot interaction thermal IR imaging social robots facial expression analysis line segment feature analysis dimensionality reduction convolutional recurrent neural network driver health risk intelligent speech signal processing human computer interaction supervised learning computer vision optical flow micro facial expressions real-time processing driver stress state IR imaging machine learning support vector machine (SVR) advanced driver-assistance systems (ADAS) artificial intelligence image processing video processing thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries 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. 2022-01-11T13:39:10Z 2022-01-11T13:39:10Z 2021 book ONIX_20220111_9783036518022_424 9783036518022 9783036518015 https://directory.doabooks.org/handle/20.500.12854/76689 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/4136 https://mdpi.com/books/pdfview/book/4136 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-1801-5 10.3390/books978-3-0365-1801-5 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036518022 9783036518015 174 Basel, Switzerland open access |
| spellingShingle | self-management interview application emotion analysis facial recognition image-mining deep convolutional neural network emotion recognition pattern recognition texture descriptors mobile tool neuromarketing brain computer interface (BCI) consumer preferences EEG signal deep learning deep neural network (DNN) electroencephalogram (EEG) logistic regression Gaussian kernel Laplacian prior affective computing human–robot interaction thermal IR imaging social robots facial expression analysis line segment feature analysis dimensionality reduction convolutional recurrent neural network driver health risk intelligent speech signal processing human computer interaction supervised learning computer vision optical flow micro facial expressions real-time processing driver stress state IR imaging machine learning support vector machine (SVR) advanced driver-assistance systems (ADAS) artificial intelligence image processing video processing thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries Ubiquitous Technologies for Emotion Recognition |
| title | Ubiquitous Technologies for Emotion Recognition |
| title_full | Ubiquitous Technologies for Emotion Recognition |
| title_fullStr | Ubiquitous Technologies for Emotion Recognition |
| title_full_unstemmed | Ubiquitous Technologies for Emotion Recognition |
| title_short | Ubiquitous Technologies for Emotion Recognition |
| title_sort | ubiquitous technologies for emotion recognition |
| topic | self-management interview application emotion analysis facial recognition image-mining deep convolutional neural network emotion recognition pattern recognition texture descriptors mobile tool neuromarketing brain computer interface (BCI) consumer preferences EEG signal deep learning deep neural network (DNN) electroencephalogram (EEG) logistic regression Gaussian kernel Laplacian prior affective computing human–robot interaction thermal IR imaging social robots facial expression analysis line segment feature analysis dimensionality reduction convolutional recurrent neural network driver health risk intelligent speech signal processing human computer interaction supervised learning computer vision optical flow micro facial expressions real-time processing driver stress state IR imaging machine learning support vector machine (SVR) advanced driver-assistance systems (ADAS) artificial intelligence image processing video processing thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries |
| topic_facet | self-management interview application emotion analysis facial recognition image-mining deep convolutional neural network emotion recognition pattern recognition texture descriptors mobile tool neuromarketing brain computer interface (BCI) consumer preferences EEG signal deep learning deep neural network (DNN) electroencephalogram (EEG) logistic regression Gaussian kernel Laplacian prior affective computing human–robot interaction thermal IR imaging social robots facial expression analysis line segment feature analysis dimensionality reduction convolutional recurrent neural network driver health risk intelligent speech signal processing human computer interaction supervised learning computer vision optical flow micro facial expressions real-time processing driver stress state IR imaging machine learning support vector machine (SVR) advanced driver-assistance systems (ADAS) artificial intelligence image processing video processing thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries |
| url | ONIX_20220111_9783036518022_424 |