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Contactless Breathing Waveform Detection Through RF Sensing: Radar vs. Wi-Fi Techniques | IEEE Conference Publication | IEEE Xplore

Contactless Breathing Waveform Detection Through RF Sensing: Radar vs. Wi-Fi Techniques


Abstract:

Human breathing detection plays a vital role in healthcare, safety, and various other applications. This research paper explores the use of radio-frequency (RF) sensing t...Show More

Abstract:

Human breathing detection plays a vital role in healthcare, safety, and various other applications. This research paper explores the use of radio-frequency (RF) sensing technologies, specifically radar and Wi-Fi, for detecting human breathing patterns. Abnormal breathing patterns can indicate respiratory or cardiovascular diseases, and early detection is crucial for timely diagnosis and treatment. Radar-based systems utilize low-power RF pulses to capture subtle chest movements associated with breathing, while software-defined radio (SDR)-based systems analyze Wi-Fi signals to detect variations caused by human chest motion. Deep learning algorithms, namely residual neural network (ResNet) and deep multilayer perceptron (DMLP), are employed to classify breathing patterns based on the collected data. ResNet attained classification accuracy up to 90% on radar-based spectrogram images data, while DMLP attained classification accuracy up to 99% on SDR-based channel state information data. The proposed approaches offer non-intrusive, remote-operable, and cost-effective solutions for breathing detection. The research demonstrates the potential of RF sensing technologies in healthcare, eldercare, sleep monitoring, and emergency response systems, paving the way for enhanced well-being and safety.
Date of Conference: 01-03 November 2023
Date Added to IEEE Xplore: 25 December 2023
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Conference Location: Hammamet, Tunisia

Funding Agency:


I. Introduction

Human breathing detection has emerged as a crucial area of research, and with technological development, a range of applications in healthcare, safety, and beyond can now be offered. With new advanced technologies, it is possible to gather important information on breathing to help with medical diagnosis, eldercare, sleep monitoring, and even security systems by carefully observing and analyzing human breathing patterns [1]. Breathing is a fundamental physiological process essential for sustaining human life. During the process, both carbon dioxide and oxygen are breathed in and out. Although breathing is normally a subconscious and spontaneous activity, it can vary depending on the environment and the individual. To preserve general health and well-being, it is crucial to recognize the many forms of human breathing, identify respiratory system disorders, and ensure the prompt diagnosis of aberrant breathing patterns [2].

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