Title :
Short time state space method for human motion identification
Author :
Lingyun Ren;Haofei Wang;Aly E. Fathy;Nghia Tran;Ozlem Kilic
Author_Institution :
Dept. Electrical Engineering and Computer Science, University of Tennessee, Knoxville, USA
fDate :
7/1/2015 12:00:00 AM
Abstract :
In this paper, UWB radar system is introduced and the applicability of the short time state space method (STSSM) is investigated for the extraction of micro-Doppler (m-D) features from a walking subject. A full wave model of human motion and the Boulic model are used to validate the proposed STSSM and calibrate the parameters before it was applied to experimental data. It is experimentally demonstrated that STSSM can successfully distinguish the motion of different body joints by identifying corresponding m-D frequencies.
Keywords :
"Joints","Ultra wideband radar","Legged locomotion","Feature extraction","Spectrogram","Analytical models"
Conference_Titel :
Antennas and Propagation & USNC/URSI National Radio Science Meeting, 2015 IEEE International Symposium on
DOI :
10.1109/APS.2015.7304641