Respiration detection based on deep learning and WiFi data

• Main Author: Hu, Jiaxing
• Other Authors: Xie Lihua
• Format: Thesis-Master by Coursework
• Language: English
• Published: Nanyang Technological University 2022
• Subjects: Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence; Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
• Online Access: https://hdl.handle.net/10356/155410
• Institution: Nanyang Technological University

Respiration, a vital basis for life, is a key indicator of health status for human being. Recently, with contact-based devices, some breathing signal detection methods have been proposed, which can achieve high precision, high signal to noise ratio performance. However, these methods require users t...