Human Gesture Classification Through Keypoint-Integrated Deep Learning on Millimeter-Wave Radar
The capability to sense and classify targets through radar instead of optical sensors offers the advantage of non-line-of-sight operation, low battery consumption, and privacy, placing integrated sensing and communications at the core of 6G networks. Thanks to their fine spatial resolution, commerci...
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| Asıl Yazarlar: | , , , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
IEEE
2026-01-01
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| Seri Bilgileri: | IEEE Access |
| Konular: | |
| Online Erişim: | https://ieeexplore.ieee.org/document/11352831/ |
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