Emotion Recognition

Emotion is a complex phenomenon that varies from person to person. Different emotional states of a person can be inferred through external and internal reactions that change in different situations. Emotion recognition has become a research milestone in cognitive science, neuroscience, computer scie...

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collection Directory of Open Access Books
description Emotion is a complex phenomenon that varies from person to person. Different emotional states of a person can be inferred through external and internal reactions that change in different situations. Emotion recognition has become a research milestone in cognitive science, neuroscience, computer science, psychology, artificial intelligence, and other areas. Emotion recognition research uses non-physiological signals such as facial expression, speech, and body movement, as well as physiological signals and images such as electrical skin resistance (GSR), heart rate (HR), electrocardiogram (ECG), functional magnetic resonance imaging (fMRI), electroencephalogram (EEG) and magnetoencephalogram (MEG). This book provides a comprehensive overview of the different techniques used in emotion recognition and discusses recent developments, perspectives, and applications in the field.
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publishDate 2023
publishDateRange 2023
publishDateSort 2023
publisher IntechOpen
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spelling doab-20.500.12854ir-1134722024-04-14T10:28:33Z Emotion Recognition Abed Hosseini, Seyyed machine learning deep learning feature extraction emotional intelligence creativity consumer behavior thema EDItEUR::U Computing and Information Technology::UY Computer science::UYZ Human–computer interaction::UYZG User interface design and usability Emotion is a complex phenomenon that varies from person to person. Different emotional states of a person can be inferred through external and internal reactions that change in different situations. Emotion recognition has become a research milestone in cognitive science, neuroscience, computer science, psychology, artificial intelligence, and other areas. Emotion recognition research uses non-physiological signals such as facial expression, speech, and body movement, as well as physiological signals and images such as electrical skin resistance (GSR), heart rate (HR), electrocardiogram (ECG), functional magnetic resonance imaging (fMRI), electroencephalogram (EEG) and magnetoencephalogram (MEG). This book provides a comprehensive overview of the different techniques used in emotion recognition and discusses recent developments, perspectives, and applications in the field. 2023-09-05T16:10:49Z 2023-09-05T16:10:49Z 2023 book ONIX_20230905_9781837685783_274 9781837685783 9781837685776 9781837685790 https://directory.doabooks.org/handle/20.500.12854/113472 eng image/jpeg n/a https://www.intechopen.com/books/12067 https://mts.intechopen.com/storage/books/12067/authors_book/authors_book.pdf IntechOpen IntechOpen 10.5772/intechopen.104074 10.5772/intechopen.104074 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9781837685783 9781837685776 9781837685790 IntechOpen 144 open access
spellingShingle machine learning
deep learning
feature extraction
emotional intelligence
creativity
consumer behavior
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYZ Human–computer interaction::UYZG User interface design and usability
Emotion Recognition
title Emotion Recognition
title_full Emotion Recognition
title_fullStr Emotion Recognition
title_full_unstemmed Emotion Recognition
title_short Emotion Recognition
title_sort emotion recognition
topic machine learning
deep learning
feature extraction
emotional intelligence
creativity
consumer behavior
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYZ Human–computer interaction::UYZG User interface design and usability
topic_facet machine learning
deep learning
feature extraction
emotional intelligence
creativity
consumer behavior
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYZ Human–computer interaction::UYZG User interface design and usability
url ONIX_20230905_9781837685783_274