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Deep Neural Network for RFID-Based Activity Recognition
We propose a Deep Neural Network (DNN) structure for RFID-based activity recognition. RFID data collected from several reader antennas with overlapping coverage have potential spatiotemporal relationships that can be used for object tracking. We augmented the standard fully-connected DNN structure w...
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| Udgivet i: | Proc Eighth Wirel Stud Stud Stud Workshop (2016) |
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| Main Authors: | , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
2016
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6261291/ https://ncbi.nlm.nih.gov/pubmed/30506067 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1145/2987354.2987355 |
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