A multimodal dataset to create manufacturing digital twins
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| Autoren: | , , , , |
|---|---|
| Format: | comunicación de congreso |
| Publikationsdatum: | 2023 |
| Beschreibung: | Este poster de congreso forma parte del: 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023) |
| Land: | Kérwá |
| Institution: | Universidad de Costa Rica |
| Repositorio: | Kérwá |
| Sprache: | Inglés |
| OAI Identifier: | oai:kerwa.ucr.ac.cr:10669/104750 |
| Online Zugang: | https://hdl.handle.net/10669/104750 https://doi.org/10.1007/978-3-031-42536-3_16 |
| Stichwort: | digital twin human action recognition multimodal dataset pose estimation |