Radar for Indoor Monitoring: Detection, Classification, and Assessment, 1st Edition (Paperback) book cover

Radar for Indoor Monitoring

Detection, Classification, and Assessment, 1st Edition

Edited by Moeness Amin

CRC Press

390 pages

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pub: 2017-09-14
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Description

This book aims to capture recent advances and breakthroughs in in-home radar monitoring of human motions and activities. It addresses three key attributes of radar for in-door human monitoring, namely: motion classification including fall, detection of vital signs, and categorization of human gait for risk assessment and progression of physical impairments and disabilities. It explores recent developments in radar technology for human monitoring inside homes and residences. The reader will learn enhanced detection and classification techniques of radar signals associated with human micro- and macro-motions. Furthermore, the book includes examples using real data collected from healthy individuals, patients, and retirement communities based on the subject Doppler and range information, and using different single and multi-antenna radar system configurations. Results are also presented using modeled data based on biomechanics and kinematics. Indoor monitoring is further demonstrated using alternative technologies of infrared sensors and RF signals of opportunities.

Reviews

"The topic of monitoring of humans in an indoor environment has universal appeal and applicability throughout the world. Thus, there is a need for such a book to educate professionals throughout the world in designing optimum radar systems for monitoring their movements, detecting falls, monitoring their vital signs, as well as their gait and other characteristics associated with their movements. There is no competing book in the market at this time, so this will be the first to address this very important and timely topic."

—Ram M. Narayanan, Pennsylvania State University, USA

Table of Contents

1. Fundamentals of Indoor Radar

Aboulnasr Hassanien and Braham Himed

2. Radar Hardware for Indoor Monitoring

Çağatay Tokgöz and Nicholas C. Soldner

3. Modeling and Simulation of Human Motions for Micro-Doppler Signatures

Shobha Sundar Ram, Sevgi Zubeyde Gurbuz, and Victor C. Chen

4. Continuous Wave Doppler Radar for Fall Detection

Yimin D. Zhang and Dominic K. C. Ho

5. Continuous Wave Doppler Radar for Human Gait Classification

Fok Hing Chi Tivive, Abdesselam Bouzerdoum, and Bijan G. Mobasseri

6. Range-Doppler Processing for Human Motion Detection and Classification Dave Tahmoush, Fauzia Ahmad, Anthony Martone, Graeme E. Smith, and Zachary Cammenga

7. Tracking Humans in the Indoor Multipath Environment

Traian Dogaru, Christopher Sentelle, Gianluca Gennarelli, and Francesco Soldovieri

8. Bistatic Radar Configuration for Human Body and Limb Motion Detection and Classification

Hugh Griffiths, Matthew Ritchie, and Francesco Fioranelli

9. Microwave and Millimeter-Wave Radars for Vital Sign Monitoring, Changzhan Gu, Tien-Yu Huang, Changzhi Li, and Jenshan Lin

10. MIMO Radar for Monitoring of Bed-Ridden Patients

Chi Xu and Jeffrey Krolik

11. Activity Recognition and Localization Using Array Antenna: Array Sensor, Tomoaki Ohtsuki

12. Radar Monitoring of Humans with Assisted Walking Devices

Anne-Kathrin Seifert, Moeness Amin, and Abdelhak Zoubir

13. Radar of Disease Detection and Monitoring

Huiyuan Zhou, Ram M. Narayanan, Ilangko Balasingham, and Rohit Chandra

14. Wireless Sensing for Device-Free Recognition of Human Motion

Stefano Savazzi, Stephan Sigg, Monica Nicoli, Vittorio Rampa, Sanaz Kianoush,

and Umberto Spagnolini

15. Infrared Sensors for Indoor Monitoring

Fatih Erden and A. Enis Cetin

About the Editor

Moeness Amin is the Director of the Center for Advanced Communications, Villanova University, Pennsylvania, USA. He is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE); Fellow of the International Society of Optical Engineering; Fellow of the Institute of Engineering and Technology (IET); and Fellow of the European Association for Signal Processing. Dr. Amin is a Recipient of the 2017 Fulbright Distinguished Chair in Advanced Science and Technology, Recipient of 2016 Alexander von Humboldt Research Award, Recipient of 2016 IET Achievement Medal, Recipient of 2014 IEEE Signal Processing Society Technical Achievement Award; Recipient of the 2009 Individual Technical Achievement Award from the European Association for Signal Processing; Recipient of the IEEE Warren D White Award for Excellence in Radar Engineering; Recipient of the IEEE Third Millennium Medal; Recipient of the 2010 NATO Scientific Achievement Award; Recipient of the 2010 Chief of Naval Research Challenge Award; Recipient of Villanova University Outstanding Faculty Research Award, 1997; and the Recipient of the IEEE Philadelphia Section Award, 1997. He was a Distinguished Lecturer of the IEEE Signal Processing Society, 2003-2004, and he is currently the Chair of the Electrical Cluster of the Franklin Institute Committee on Science and the Arts. Dr. Amin has over 700 journal and conference publications in signal processing theory and applications. He co-authored 22 book chapters and is the Editor of the two books, "Through the Wall Radar Imaging" and "Compressive Sensing for Urban Radar," both published by CRC Press in 2011 and 2014, respectively.

Subject Categories

BISAC Subject Codes/Headings:
TEC007000
TECHNOLOGY & ENGINEERING / Electrical
TEC008000
TECHNOLOGY & ENGINEERING / Electronics / General
TEC024000
TECHNOLOGY & ENGINEERING / Microwaves