CRC Press Radar for Indoor Monitoring: Detection, Classification, and Assessment

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. Review "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 About the Author 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.