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https://hdl.handle.net/10356/155788| Title: | Radio-frequency (RF) sensing for deep awareness of human physical status | Authors: | Aide Iskandar Abdul Rahim | Keywords: | Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence | Issue Date: | 2022 | Publisher: | Nanyang Technological University | Source: | Aide Iskandar Abdul Rahim (2022). Radio-frequency (RF) sensing for deep awareness of human physical status. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/155788 | Project: | SCSE21-0356 | Abstract: | Radar Sensor is also commonly known as radio frequency. The main goal of this project is to use cheaper sensor solutions to measure and detect the presence and the absence of respiration on patients. On top of that, we suggest using a machine learning integration solutions instead of edge programming solutions to do a direct comparison of the breathing cycles. | URI: | https://hdl.handle.net/10356/155788 | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
| Appears in Collections: | SCSE Student Reports (FYP/IA/PA/PI) |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| U1922414E_Iskandar_FYP Report.pdf Restricted Access | 3.48 MB | Adobe PDF | View/Open |
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