DocumentCode
2941894
Title
Micro-Doppler signatures for intelligent human gait recognition using a UWB impulse radar
Author
Wang, Yazhou ; Fathy, Aly E.
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., Univ. of Tennessee, Knoxville, TN, USA
fYear
2011
fDate
3-8 July 2011
Firstpage
2103
Lastpage
2106
Abstract
A UWB impulse Doppler radar has been developed recently to detect the micro-Doppler signatures of human motions. The system RF front-end, wideband antenna array and high speed data acquisition module are introduced in details. The developed radar is used to detect the Doppler features of arms swing, which has unique characteristics compared to movements of other body components, for intelligent human gait recognition. Several experiments, including human marching and walking, with either one-arm or two-arm swings, have been performed. Promising experimental results have been achieved from both high resolution range profiles and Doppler spectrogram. The developed radar is also capable of detecting vibrations of respiration and heartbeat for stationary human targets buried in collapse for search and rescue operations.
Keywords
Doppler radar; data acquisition; motion estimation; radar imaging; ultra wideband radar; Doppler spectrogram; UWB impulse radar; heartbeat vibration detection; high speed data acquisition module; human marching; human motions; human walking; intelligent human gait recognition; micro-Doppler signatures; one-arm swings; respiration vibration detection; search and rescue operations; stationary human targets; system RF front-end; two-arm swings; wideband antenna array; Doppler effect; Doppler radar; Humans; Legged locomotion; Spectrogram; Ultra wideband radar; Doppler; UWB; arm swing; human gait recognition; impulse radar;
fLanguage
English
Publisher
ieee
Conference_Titel
Antennas and Propagation (APSURSI), 2011 IEEE International Symposium on
Conference_Location
Spokane, WA
ISSN
1522-3965
Print_ISBN
978-1-4244-9562-7
Type
conf
DOI
10.1109/APS.2011.5996925
Filename
5996925
Link To Document