Non-intrusive Human Vital Sign Detection Using mmWave Sensing Technologies: A Review

被引:5
|
作者
Wu, Yingxiao [1 ]
Ni, Haocheng [1 ]
Mao, Changlin [1 ]
Han, Jianping [1 ]
Xu, Wenyao [2 ]
机构
[1] Hangzhou Dianzi Univ, Hangzhou, Peoples R China
[2] Univ Buffalo, Buffalo, NY USA
关键词
Vital sign; non-intrusive; mmWave radar; mmWave sensing; sensing models; CONTINUOUS-WAVE RADAR; BLOOD-PRESSURE; HEART SOUNDS; LOCALIZATION; TRANSFORM; ALGORITHM; VELOCITY; DATASET; SENSOR; MODEL;
D O I
10.1145/3627161
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Non-invasive human vital sign detection has gained significant attention in recent years, with its potential for contactless, long-term monitoring. Advances in radar systems have enabled non-contact detection of human vital signs, emerging as a crucial area of research. The movements of key human organs influence radar signal propagation, offering researchers the opportunity to detect vital signs by analyzing received electromagnetic (EM) signals. In this review, we provide a comprehensive overview of the current state-of-the-art in millimeter-wave (mmWave) sensing for vital sign detection. We explore human anatomy and various measurement methods, including contact and non-contact approaches, and summarize the principles of mmWave radar sensing. To demonstrate how EM signals can be harnessed for vital sign detection, we discuss four mmWave-based vital sign sensing (MVSS) signal models and elaborate on the signal processing chain for MVSS. Additionally, we present an extensive review of deep learning-based MVSS and compare existing studies. Finally, we offer insights into specific applications of MVSS (e.g., biometric authentication) and highlight future research trends in this domain.
引用
收藏
页数:36
相关论文
共 50 条
  • [31] Ground vehicle odometry using a non-intrusive inertial speed sensor
    Shah, Het
    Haldar, Siddhant
    Ner, Rohit
    Jha, Siddharth
    Chakravarty, Debashish
    2019 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY (ICIT), 2019, : 120 - 125
  • [32] Automated Non-Intrusive Load Monitoring System Using Stacked Neural Networks and Numerical Integration
    do Carmo Correa, Suelene de Jesus
    Castro, Adriana R. G.
    IEEE ACCESS, 2020, 8 : 210566 - 210581
  • [33] Non-intrusive reduced-order modeling for fluid problems: A brief review
    Yu, Jian
    Yan, Chao
    Guo, Mengwu
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING, 2019, 233 (16) : 5896 - 5912
  • [34] Non-intrusive Cognitive Radio Using Adaptive Nulls-Steering
    Wu, Wei-Chiang
    WIRELESS PERSONAL COMMUNICATIONS, 2013, 72 (02) : 1549 - 1563
  • [35] Reconfigurable Multiband Concurrent RF System For Non-Invasive Human Vital Sign Detection
    Iyer, Brijesh
    Pathak, Nagendra Prasad
    Ghosh, Debashis
    PROCEEDINGS OF THE 2014 IEEE REGION 10 HUMANITARIAN TECHNOLOGY CONFERENCE (RIO HTC), 2014, : 111 - 116
  • [36] A non-intrusive biometric authentication mechanism utilising physiological characteristics of the human head
    Rodwell, P. M.
    Furnell, S. M.
    Reynolds, P. L.
    COMPUTERS & SECURITY, 2007, 26 (7-8) : 468 - 478
  • [37] Non-intrusive Water Flow Rate Measurement: A TEG-powered Ultrasonic Sensing Approach
    Balsamo, Domenico
    Cetinkaya, Oktay
    Mileiko, Sergey
    2022 IEEE SENSORS, 2022,
  • [38] Vital Sign Detection for Handheld Communication Device using Antenna Mismatching Effect
    An, Yong-Jun
    Yun, Gi-Ho
    Yook, Jong-Gwan
    2013 IEEE MTT-S INTERNATIONAL MICROWAVE SYMPOSIUM DIGEST (IMS), 2013,
  • [39] A real-time non-intrusive FPGA-based drowsiness detection system
    Vitabile, Salvatore
    De Paola, Alessandra
    Sorbello, Filippo
    JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 2011, 2 (04) : 251 - 262
  • [40] Non-Intrusive Presence Detection and Position Tracking for Multiple People Using Low-Resolution Thermal Sensors
    Singh, Saipriyati
    Aksanli, Baris
    JOURNAL OF SENSOR AND ACTUATOR NETWORKS, 2019, 8 (03)