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Microwave Doppler Radar Sensing System for Vital Sign Detection: From Evaluated Accuracy Models to the Intelligent System

Published: 08 June 2020 Publication History

Abstract

The development of microwave radar vital sign sensing system brings many benefits to mankind. This system can be used to detect the location of living people buried under debris. Other important applications of microwave radar sensor are smart home, health care and defense. There are several main blocks in the radar sensor such as a transmitter, a receiver, a signal processing circuit and a display block. The transmitter propagates radio frequency signals toward the human and collects the reflected signals from the human chest. By analyzing transmitted and received signals, useful information like breathing rate, heartbeat, and people's location are taken. This work focuses on the studying mathematical model to evaluate the accuracy of radar vital sign sensing system when the operating frequency and distance change. Moreover, the integration between AI technique and radar sensor is also considered carefully in this study. The combination makes this system smarter, enables more applications and brings more benefits to users.

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Cited By

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  • (2023)Identification of Humans in a Disaster using Radio Frequency Technique2023 Global Conference on Wireless and Optical Technologies (GCWOT)10.1109/GCWOT57803.2023.10064672(1-4)Online publication date: 24-Jan-2023
  • (2021)Multiple Time-Variant Targets Detection using MIMO Radar Framework for Cerebrovascular Monitoring2021 15th European Conference on Antennas and Propagation (EuCAP)10.23919/EuCAP51087.2021.9411329(1-5)Online publication date: 22-Mar-2021

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    cover image ACM Conferences
    ICDAR '20: Proceedings of the 2020 ACM Workshop on Intelligent Cross-Data Analysis and Retrieval
    June 2020
    44 pages
    ISBN:9781450375092
    DOI:10.1145/3379174
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 08 June 2020

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    Author Tags

    1. knn
    2. machine learning
    3. radar sensor
    4. smart sensing system
    5. svm

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    • (2023)Identification of Humans in a Disaster using Radio Frequency Technique2023 Global Conference on Wireless and Optical Technologies (GCWOT)10.1109/GCWOT57803.2023.10064672(1-4)Online publication date: 24-Jan-2023
    • (2021)Multiple Time-Variant Targets Detection using MIMO Radar Framework for Cerebrovascular Monitoring2021 15th European Conference on Antennas and Propagation (EuCAP)10.23919/EuCAP51087.2021.9411329(1-5)Online publication date: 22-Mar-2021

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