Information Fusion in Multimodal IoT Systems for physical activity level monitoring
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arXiv
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| Hauptverfasser: | , , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866916946422792192 |
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| author | Shirali, Mohsen Ahmadi, Zahra Bayo-Monton, Jose-Luis Valero-Ramon, Zoe Fernandez-Llatas, Carlos |
| author_facet | Shirali, Mohsen Ahmadi, Zahra Bayo-Monton, Jose-Luis Valero-Ramon, Zoe Fernandez-Llatas, Carlos |
| contents | This study exploits information fusion in IoT systems and uses a clustering method to identify similarities in behaviours and key characteristics within each cluster. This approach facilitates early detection of behaviour changes and provides a more in-depth understanding of behaviour routines for continuous health monitoring. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_14707 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Information Fusion in Multimodal IoT Systems for physical activity level monitoring Shirali, Mohsen Ahmadi, Zahra Bayo-Monton, Jose-Luis Valero-Ramon, Zoe Fernandez-Llatas, Carlos Computers and Society 68U35 H.4.0; J.3; I.2.1 This study exploits information fusion in IoT systems and uses a clustering method to identify similarities in behaviours and key characteristics within each cluster. This approach facilitates early detection of behaviour changes and provides a more in-depth understanding of behaviour routines for continuous health monitoring. |
| title | Information Fusion in Multimodal IoT Systems for physical activity level monitoring |
| topic | Computers and Society 68U35 H.4.0; J.3; I.2.1 |
| url | https://arxiv.org/abs/2403.14707 |