Please use this identifier to cite or link to this item:
Title: Radio-frequency (RF) sensing for deep awareness of human physical status
Authors: Muhammad Nasran Hamza
Keywords: Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Engineering::Computer science and engineering::Computing methodologies::Document and text processing
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Muhammad Nasran Hamza (2022). Radio-frequency (RF) sensing for deep awareness of human physical status. Final Year Project (FYP), Nanyang Technological University, Singapore.
Abstract: Wireless vital sign monitoring systems has been emerging around recently. Sometimes, these wireless systems act as a stationary sensor which monitors patients in the room without needing any contact. These passive monitoring systems can help to find underlying problems without the need for need for frequent manual operation. Similarly, this project aims to create such system with radio frequency sensing. In this project, I have touched on the pre-processing of the radio frequency signals and dabbled on deep learning to transform the pre-processed signals into a more reputable ground truth. My experiments show promising results which could push the idea of radio frequency sensing of vital signs even further.
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
  Restricted Access
1.68 MBAdobe PDFView/Open

Page view(s)

Updated on May 20, 2022


Updated on May 20, 2022

Google ScholarTM


Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.