Wi-Fi-Based Human Fall and Activity Recognition Using Transformer-Based Encoder–Decoder and Graph Neural Networks
Uloženo v:
| Název: | Wi-Fi-Based Human Fall and Activity Recognition Using Transformer-Based Encoder–Decoder and Graph Neural Networks |
|---|---|
| Autoři: | Younggeol Cho, Elisa Motta, Olivia Nocentini, Marta Lagomarsino, Andrea Merello, Marco Crepaldi, Arash Ajoudani |
| Zdroj: | IEEE Sensors Journal. 25:34939-34947 |
| Informace o vydavateli: | Institute of Electrical and Electronics Engineers (IEEE), 2025. |
| Rok vydání: | 2025 |
| Druh dokumentu: | Article |
| ISSN: | 2379-9153 1530-437X |
| DOI: | 10.1109/jsen.2025.3593126 |
| Rights: | IEEE Copyright |
| Přístupové číslo: | edsair.doi...........c9852d4fe9fe2a1e9174c5b49d7c7743 |
| Databáze: | OpenAIRE |
| ISSN: | 23799153 1530437X |
|---|---|
| DOI: | 10.1109/jsen.2025.3593126 |
Full Text Finder
Nájsť tento článok vo Web of Science