Emotion and Attention Recognition Based on Biological Signals and Images
Emotion, stress, and attention recognition are the most important aspects in neuropsychology, cognitive science, neuroscience, and engineering. Biological signals and images processing such as galvanic skin response (GSR), electrocardiography (ECG), heart rate variability (HRV), electromyography (EM...
-д хадгалсан:
| Формат: | Online |
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| Хэл сонгох: | англи |
| Хэвлэсэн: |
IntechOpen
2023
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| Нөхцлүүд: | |
| Онлайн хандалт: | ONIX_20231201_9789535129165_827 |
| Шошгууд: |
Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!
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| _version_ | 1869522849456193536 |
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| collection | Directory of Open Access Books |
| description | Emotion, stress, and attention recognition are the most important aspects in neuropsychology, cognitive science, neuroscience, and engineering. Biological signals and images processing such as galvanic skin response (GSR), electrocardiography (ECG), heart rate variability (HRV), electromyography (EMG), electroencephalography (EEG), event-related potentials (ERP), eye tracking, functional near-infrared spectroscopy (fNIRS), and functional magnetic resonance imaging (fMRI) have a great help in understanding the mentioned cognitive processes. Emotion, stress, and attention recognition systems based on different soft computing approaches have many engineering and medical applications. The book Emotion and Attention Recognition Based on Biological Signals and Images attempts to introduce the different soft computing approaches and technologies for recognition of emotion, stress, and attention, from a historical development, focusing particularly on the recent development of the field and its specialization within neuropsychology, cognitive science, neuroscience, and engineering. The basic idea is to present a common framework for the neuroscientists from diverse backgrounds in the cognitive neuroscience to illustrate their theoretical and applied research findings in emotion, stress, and attention. |
| format | Online |
| id | doab-20.500.12854ir-129718 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | IntechOpen |
| publisherStr | IntechOpen |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1297182024-04-11T15:10:47Z Emotion and Attention Recognition Based on Biological Signals and Images Abed Hosseini, Seyyed machine learning, anxiety, eeg, empathy, random forest, sensor fusion thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TC Biochemical engineering::TCB Biotechnology Emotion, stress, and attention recognition are the most important aspects in neuropsychology, cognitive science, neuroscience, and engineering. Biological signals and images processing such as galvanic skin response (GSR), electrocardiography (ECG), heart rate variability (HRV), electromyography (EMG), electroencephalography (EEG), event-related potentials (ERP), eye tracking, functional near-infrared spectroscopy (fNIRS), and functional magnetic resonance imaging (fMRI) have a great help in understanding the mentioned cognitive processes. Emotion, stress, and attention recognition systems based on different soft computing approaches have many engineering and medical applications. The book Emotion and Attention Recognition Based on Biological Signals and Images attempts to introduce the different soft computing approaches and technologies for recognition of emotion, stress, and attention, from a historical development, focusing particularly on the recent development of the field and its specialization within neuropsychology, cognitive science, neuroscience, and engineering. The basic idea is to present a common framework for the neuroscientists from diverse backgrounds in the cognitive neuroscience to illustrate their theoretical and applied research findings in emotion, stress, and attention. 2023-12-01T16:02:31Z 2023-12-01T16:02:31Z 2017 book ONIX_20231201_9789535129165_827 9789535129165 9789535129158 9789535166955 https://directory.doabooks.org/handle/20.500.12854/129718 eng image/jpeg n/a https://www.intechopen.com/books/5441 https://mts.intechopen.com/storage/books/5441/authors_book/authors_book.pdf IntechOpen IntechOpen 10.5772/62957 10.5772/62957 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9789535129165 9789535129158 9789535166955 IntechOpen 96 open access |
| spellingShingle | machine learning, anxiety, eeg, empathy, random forest, sensor fusion thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TC Biochemical engineering::TCB Biotechnology Emotion and Attention Recognition Based on Biological Signals and Images |
| title | Emotion and Attention Recognition Based on Biological Signals and Images |
| title_full | Emotion and Attention Recognition Based on Biological Signals and Images |
| title_fullStr | Emotion and Attention Recognition Based on Biological Signals and Images |
| title_full_unstemmed | Emotion and Attention Recognition Based on Biological Signals and Images |
| title_short | Emotion and Attention Recognition Based on Biological Signals and Images |
| title_sort | emotion and attention recognition based on biological signals and images |
| topic | machine learning, anxiety, eeg, empathy, random forest, sensor fusion thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TC Biochemical engineering::TCB Biotechnology |
| topic_facet | machine learning, anxiety, eeg, empathy, random forest, sensor fusion thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TC Biochemical engineering::TCB Biotechnology |
| url | ONIX_20231201_9789535129165_827 |