Human Activity Recognition (HAR) in Healthcare
Human activity recognition (HAR) is determined through the acquisition of images or kinematic states, which are analyzed by prediction models. The goal of these systems is to correctly classify the data into one of the following categories: gestures, elementary actions that are components of complex...
Wedi'i Gadw mewn:
| Fformat: | Online |
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| Iaith: | Saesneg |
| Cyhoeddwyd: |
MDPI - Multidisciplinary Digital Publishing Institute
2024
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| Pynciau: | |
| Mynediad Ar-lein: | ONIX_20240514_9783036597782_291 |
| Tagiau: |
Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!
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| _version_ | 1869528619641995264 |
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| collection | Directory of Open Access Books |
| description | Human activity recognition (HAR) is determined through the acquisition of images or kinematic states, which are analyzed by prediction models. The goal of these systems is to correctly classify the data into one of the following categories: gestures, elementary actions that are components of complex activities, human–object or human–human interactions, and group actions. HAR plays a fundamental role in health monitoring systems through the acquisition of information about the health and psychological statuses of subjects. The development of new medical and assistive technologies has created environmental conditions for the independent living among the elderly and has contributed to the improvement of their quality of life. In this Special Issue, we present the constant development of new data, applications and analysis techniques. |
| format | Online |
| id | doab-20.500.12854ir-137694 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1376942024-05-14T14:08:48Z Human Activity Recognition (HAR) in Healthcare Bibbò, Luigi Vellasco, Marley M.B.R. diet records eHealth body mass index internet of things social media HAR face emotion recognition face detection computer vision deep learning SNN ensemble vectorflow device displacement acceleration wearable devices data augmentation patient monitoring human activity recognition joint-angle estimation human motion analysis inertial sensors human activity recognition (HAR) 3-axial sensor image type encoding method WISDM dataset CNN adherence cardiac rehabilitation machine learning prediction exercise home-based familiarization phase telemonitoring metaverse virtual reality animation digital games gaming qualitative research WiFi sensing attention mechanism channel state information multi-scale analysis feature fusion human action recognition behaviour analysis domestic environments activities of daily living knowledge discovery in databases MLP-Mixer efficiency n/a thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics Human activity recognition (HAR) is determined through the acquisition of images or kinematic states, which are analyzed by prediction models. The goal of these systems is to correctly classify the data into one of the following categories: gestures, elementary actions that are components of complex activities, human–object or human–human interactions, and group actions. HAR plays a fundamental role in health monitoring systems through the acquisition of information about the health and psychological statuses of subjects. The development of new medical and assistive technologies has created environmental conditions for the independent living among the elderly and has contributed to the improvement of their quality of life. In this Special Issue, we present the constant development of new data, applications and analysis techniques. 2024-05-14T14:08:38Z 2024-05-14T14:08:38Z 2024 book ONIX_20240514_9783036597782_291 9783036597782 9783036597799 https://directory.doabooks.org/handle/20.500.12854/137694 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/8914 https://mdpi.com/books/pdfview/book/8914 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-9779-9 10.3390/books978-3-0365-9779-9 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036597782 9783036597799 228 open access |
| spellingShingle | diet records eHealth body mass index internet of things social media HAR face emotion recognition face detection computer vision deep learning SNN ensemble vectorflow device displacement acceleration wearable devices data augmentation patient monitoring human activity recognition joint-angle estimation human motion analysis inertial sensors human activity recognition (HAR) 3-axial sensor image type encoding method WISDM dataset CNN adherence cardiac rehabilitation machine learning prediction exercise home-based familiarization phase telemonitoring metaverse virtual reality animation digital games gaming qualitative research WiFi sensing attention mechanism channel state information multi-scale analysis feature fusion human action recognition behaviour analysis domestic environments activities of daily living knowledge discovery in databases MLP-Mixer efficiency n/a thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics Human Activity Recognition (HAR) in Healthcare |
| title | Human Activity Recognition (HAR) in Healthcare |
| title_full | Human Activity Recognition (HAR) in Healthcare |
| title_fullStr | Human Activity Recognition (HAR) in Healthcare |
| title_full_unstemmed | Human Activity Recognition (HAR) in Healthcare |
| title_short | Human Activity Recognition (HAR) in Healthcare |
| title_sort | human activity recognition har in healthcare |
| topic | diet records eHealth body mass index internet of things social media HAR face emotion recognition face detection computer vision deep learning SNN ensemble vectorflow device displacement acceleration wearable devices data augmentation patient monitoring human activity recognition joint-angle estimation human motion analysis inertial sensors human activity recognition (HAR) 3-axial sensor image type encoding method WISDM dataset CNN adherence cardiac rehabilitation machine learning prediction exercise home-based familiarization phase telemonitoring metaverse virtual reality animation digital games gaming qualitative research WiFi sensing attention mechanism channel state information multi-scale analysis feature fusion human action recognition behaviour analysis domestic environments activities of daily living knowledge discovery in databases MLP-Mixer efficiency n/a thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics |
| topic_facet | diet records eHealth body mass index internet of things social media HAR face emotion recognition face detection computer vision deep learning SNN ensemble vectorflow device displacement acceleration wearable devices data augmentation patient monitoring human activity recognition joint-angle estimation human motion analysis inertial sensors human activity recognition (HAR) 3-axial sensor image type encoding method WISDM dataset CNN adherence cardiac rehabilitation machine learning prediction exercise home-based familiarization phase telemonitoring metaverse virtual reality animation digital games gaming qualitative research WiFi sensing attention mechanism channel state information multi-scale analysis feature fusion human action recognition behaviour analysis domestic environments activities of daily living knowledge discovery in databases MLP-Mixer efficiency n/a thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics |
| url | ONIX_20240514_9783036597782_291 |