Radio-frequency (RF) sensing for deep awareness of human physical status

• Main Author: Muhammad Nasran Hamza
• Other Authors: Luo Jun
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2022
• Subjects: Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence; Engineering::Computer science and engineering::Computing methodologies::Document and text processing
• Online Access: https://hdl.handle.net/10356/156591
• Institution: Nanyang Technological University

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.