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Human Motion Detection Using Planar Array FMCW Radar Through 3D Point Clouds
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Publication Year
2020-03-01
Journal
14th European Conference on Antennas and Propagation, EuCAP 2020
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citation
14th European Conference on Antennas and Propagation, EuCAP 2020
Keyword
FMCW radarHuman motionplanar phased arraypoint cloud.
Mesh Keyword
3D point cloudClassification accuracyFMCW radar systemsHuman motion detectionHuman motionsHuman posturesPlanar phased arraysPoint scatterers
All Science Classification Codes (ASJC)
Computer Networks and CommunicationsSignal ProcessingInstrumentationRadiation
Abstract
We propose to detect different human motions using planar phased-array FMCW radar through investigating 3D point clouds, which has not yet been presented. While human motion has been analyzed using micro-Doppler signatures, studies investigating an approach that employs point clouds are lacking. We measured 7 human motions including bowing, kicking, punching, walking, running, sitting down, and standing using a planar phased-array FMCW radar system operating at 77GHz. Next, 3D point clouds were extracted by calculating direction-of-arrival from point scatterers on the human body. As the point clouds contained human posture information, we classified the motions using convolutional neural networks. The classification accuracy was 80%.
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/36616
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85088652344&origin=inward
DOI
https://doi.org/10.23919/eucap48036.2020.9135381
Journal URL
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=9127589
Type
Conference
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Park, Ikmo 박익모
Department of Electrical and Computer Engineering
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