WiFi-based respiration monitoring system based on deep learning and Internet of Things
In this project, I explore the use of Wi-Fi signal’s Channel State Information to investigate the disrup- tions caused by human motion on the signal propagation path. This analysis enables the estimation of human respiratory rates using Wi-Fi signals and make it possible to develop a non-intrusive...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/177019 |