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IS06: Human Body Imaging and Remote Vital Monitoring using UWB Doppler Radar

Tuesday - 3:40-4:20pm - Room Havane

Takuya Sakamoto

University of Hyogo, Himeji, Japan

Takuya Sakamoto received a B.E. degree in electrical and electronic engineering from Kyoto University, Kyoto, Japan, in 2000, as well as M.E. and Ph.D. degrees in communications and computer engineering from the Graduate School of Informatics, Kyoto University, in 2002 and 2005, respectively. From 2006 through 2015, he was an Assistant Professor at the Graduate School of Informatics, Kyoto University. Additionally, from 2011 through 2013, he was a Visiting Researcher at Delft University of Technology, Delft, The Netherlands. Since 2015, he has been an Associate Professor at the Graduate School of Engineering, University of Hyogo, Himeji, Japan. He has also been a Part-time Researcher at the Graduate School of Informatics, Kyoto University since 2015. His current research interests lie in ultra-wideband radar, radar imaging, and radar signal processing. He received the Masao Horiba Award in 2016.

Abstract

This talk introduces recent developments in the signal processing aspects of ultra-wideband (UWB) radar technology for measuring human bodies. Ultra-wideband radar has attracted increased attention because of its wide range of applications, including measuring body shape and action types, identifying concealed objects, and even remotely measuring vital signs such as respiration and heartbeat. This talk covers several advanced signal processing techniques, which are applicable to UWB radar data for retrieving information about the subject. Near-field radar imaging technology is currently used for body scanners at airports intended to detect concealed weapons. Our techniques enable us to generate high-quality radar images quickly, which is crucial for real-time applications. Another technique we have been developing is related to noncontact measurement of vital signs, which could be a breakthrough in the recent trend of health-conscious gadgets that non-invasively measure heartrate. Our signal processing helped us to achieve an unprecedented level of accuracy in the noncontact measurement of instantaneous heartbeat intervals using a multiple-input multiple-output UWB radar system. The performance of these techniques has been verified using various measurements.

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