Synthetic Multimodal Dataset for Empowering Safety and Well-being in Home Environments
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arXiv
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| Auteurs principaux: | , , , , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866929225178546176 |
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| author | Ugai, Takanori Egami, Shusaku Htun, Swe Nwe Nwe Kozaki, Kouji Kawamura, Takahiro Fukuda, Ken |
| author_facet | Ugai, Takanori Egami, Shusaku Htun, Swe Nwe Nwe Kozaki, Kouji Kawamura, Takahiro Fukuda, Ken |
| contents | This paper presents a synthetic multimodal dataset of daily activities that fuses video data from a 3D virtual space simulator with knowledge graphs depicting the spatiotemporal context of the activities. The dataset is developed for the Knowledge Graph Reasoning Challenge for Social Issues (KGRC4SI), which focuses on identifying and addressing hazardous situations in the home environment. The dataset is available to the public as a valuable resource for researchers and practitioners developing innovative solutions recognizing human behaviors to enhance safety and well-being in |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_14743 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Synthetic Multimodal Dataset for Empowering Safety and Well-being in Home Environments Ugai, Takanori Egami, Shusaku Htun, Swe Nwe Nwe Kozaki, Kouji Kawamura, Takahiro Fukuda, Ken Artificial Intelligence This paper presents a synthetic multimodal dataset of daily activities that fuses video data from a 3D virtual space simulator with knowledge graphs depicting the spatiotemporal context of the activities. The dataset is developed for the Knowledge Graph Reasoning Challenge for Social Issues (KGRC4SI), which focuses on identifying and addressing hazardous situations in the home environment. The dataset is available to the public as a valuable resource for researchers and practitioners developing innovative solutions recognizing human behaviors to enhance safety and well-being in |
| title | Synthetic Multimodal Dataset for Empowering Safety and Well-being in Home Environments |
| topic | Artificial Intelligence |
| url | https://arxiv.org/abs/2401.14743 |