TY - CONF
T1 - Simulation and Analysis of Human Walking Motion
T2 - Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
Y1 - 2007
A1 - Nandy, K.
A1 - Chellapa, Rama
KW - 3D
KW - algorithm;revolute
KW - analysis;image
KW - chain;mechanical
KW - DYNAMICS
KW - Euler
KW - extraction;image
KW - geometry;angle
KW - inverse
KW - joints;rigid
KW - links;surveillance;time
KW - method;feature
KW - model;recursive
KW - models;torque
KW - MOTION
KW - motion;kinematic
KW - Newton
KW - patterns;Newton
KW - problems;time
KW - sequences;dynamic
KW - sequences;inverse
KW - sequences;walking
KW - series
KW - series;time
KW - simulation;torque;
KW - TIME
KW - walking
KW - warp
KW - warping;healthcare;human
AB - Simulation and analysis of human walking motion has applications in surveillance and healthcare. In this paper we discuss an approach for modeling human walking motion using a mechanical model in the form of a kinematic chain consisting of rigid links and revolute joints. Our goal is to discriminate different types of walking motions using information such as joint torque and angle sequences extracted from the model. The angle sequences are initially extracted using 3D geometry. From these angle sequences we extract the torque sequences using a recursive Newton Euler inverse dynamics algorithm. Time series models and dynamic time warping of the torque and angle sequences are used to characterize and discriminate different walking patterns. A forward dynamics algorithm is also presented for synthesizing different walking sequences like limping from a normal walking torque sequence
JA - Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
VL - 1
M3 - 10.1109/ICASSP.2007.366028
ER -