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Radar Remote Sensing on Life Activities
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Radar Remote Sensing on Life Activities

A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Digital Health".

Deadline for manuscript submissions: closed (10 June 2020) | Viewed by 4354

Special Issue Editors

Prof. Dr. Changzhi Li

E-Mail Website
Guest Editor
Department of Electrical & Computer Engineering, Texas Tech University, Box 43102, Lubbock, TX 79409-3102, USA
Interests: radio frequency and microwave; wireless localization; non-contact motion sensing; healthcare monitoring; structural monitoring; biomedical radar
Special Issues, Collections and Topics in MDPI journals
Dr. Zhengyu Peng

E-Mail Website
Guest Editor
Aptiv Corporation, 2152 E Lincoln Rd, Kokomo, IN 46902, USA
Interests: automotive radar; mm-wave radar; radio frequency and microwave systems; antenna array; beamforming
Special Issues, Collections and Topics in MDPI journals
Dr. Veronica Cimolin

E-Mail Website
Co-Guest Editor
Department of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, Italy
Interests: bioengineering; movement analysis; biomechanics; rehabilitation; healthcare
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Non-contact remote sensing of life activities, such as respiration, heartbeat, hand gestures, sleep, and walking based on radar sensors has attracted a lot of interest from both academia and industry in recent years. Using radar sensors, researchers have been exploring novel applications including indoor tracking, monitoring of vital signs, security surveillance, gesture recognition, and occupancy detection. Various radar sensors from bench-top systems to silicon on-chip integration have been widely reported. The operation frequency of these radar sensors ranges from a few MHz to sub-THz. Advanced algorithms such as machine learning and blind signal separation have also been adapted for radar-based life activity sensing. While the rapid advancements in radar remote sensing technologies have shown great promise in improving life quality, there still exist significant challenges to be solved.

We invite manuscripts for this forthcoming Special Issue in all aspects regarding radar remote sensing on life activities. Both reviews and original research articles on systems, hardware, or algorithms are welcome. Reviews should provide an up-to-date overview for the state-of-the-art technologies such as remote and accurate vital signs monitoring, life activity tracking, non-contact human-computer interface based on remote sensing of gesture commands, or any other radar based remote life activity sensing topics that have experienced significant advancements in the past decade. Original research papers should focus on a new approach or solve an important problem in radar-based life activity remote sensing. If you have ideas to discuss before submission, please feel free to contact us. We look forward to receiving your manuscript submitted to this Special Issue.

You may choose our Joint Special Issue in Remote Sensing.

Dr. Changzhi Li
Dr. Zhengyu Peng
Prof. Veronica Cimolin
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. International Journal of Environmental Research and Public Health is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2500 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • non-contact sensing
  • radar
  • vital signs
  • life activity tracking
  • biomedical applications
  • human-computer interface
  • security monitoring
  • microwave
  • radio frequency

Published Papers (1 paper)

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Research

21 pages, 6871 KiB  
Article
Method for Distinguishing Humans and Animals in Vital Signs Monitoring Using IR-UWB Radar
by Pengfei Wang, Yang Zhang, Yangyang Ma, Fulai Liang, Qiang An, Huijun Xue, Xiao Yu, Hao Lv and Jianqi Wang
Int. J. Environ. Res. Public Health 2019, 16(22), 4462; https://doi.org/10.3390/ijerph16224462 - 13 Nov 2019
Cited by 28 | Viewed by 3979
Abstract
Radar has been widely applied in many scenarios as a critical remote sensing tool for non-contact vital sign monitoring, particularly for sleep monitoring and heart rate measurement within the home environment. For non-contact monitoring with radar, interference from house pets is an important [...] Read more.
Radar has been widely applied in many scenarios as a critical remote sensing tool for non-contact vital sign monitoring, particularly for sleep monitoring and heart rate measurement within the home environment. For non-contact monitoring with radar, interference from house pets is an important issue that has been neglected in the past. Many animals have respiratory frequencies similar to those of humans, and they are easily mistaken for human targets in non-contact monitoring, which would trigger a false alarm because of incorrect physiological parameters from the animal. In this study, humans and common pets in families, such as dogs, cats, and rabbits, were detected using an impulse radio ultrawideband (IR-UWB) radar, and the echo signals were analyzed in the time and frequency domains. Subsequently, based on the distinct in-body structure between humans and animals, we propose a parameter, the respiratory and heartbeat energy ratio (RHER), which reflects the contribution rate of breathing and heartbeat in the detected vital signs. Combining this parameter with the energy index, we developed a novel scheme to distinguish between humans and animals. In the developed scheme, after background noise removal and direct-current component suppression, an energy indicator is used to initially identify the target. The signal is then decomposed using a variational mode decomposition algorithm, and the variational intrinsic mode functions that represent human respiration and heartbeat components are obtained and utilized to calculate the RHER parameter. Finally, the RHER index is applied to rapidly distinguish between humans and animals. Our experimental results demonstrate that the proposed approach more effectively distinguishes between humans and animals in terms of monitoring vital signs than the existing methods. Furthermore, its rapidity and need for only minimal calculation resources enable it to meet the needs of real-time monitoring. Full article
(This article belongs to the Special Issue Radar Remote Sensing on Life Activities)
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