TY - GEN
T1 - Kinematic parameters extraction of pathological gait based on 3D tracking trajectory of head vertex
AU - Jia, Lihao
AU - Qiao, Hong
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2015/3/2
Y1 - 2015/3/2
N2 - Three-dimensional gait analysis (including kinematic analysis and dynamic analysis) for clinical diagnosis of pathological gait disorders can provide a reliable basis for development and efficacy evaluation of rehabilitation programs. Under certain circumstances of laboratories, it is usually more difficult to obtain the patient's real gait information by the traditional three-dimensional gait analysis methods (based on markers-based human motion capture in video, pressure plate, etc.). This paper proposes a new method for kinematic parameters extraction of pathological gait based on 3D tracking trajectory of head vertex due to the results of prior work. And the kinematic parameters of pathological gait are extracted from the three-dimensional trajectory of the head vertex (including the vertical displacement and lateral displacement) formed during the patient walking in a multi-camera vision system. Preliminary results show the method is simple, effective with small amount of computation.
AB - Three-dimensional gait analysis (including kinematic analysis and dynamic analysis) for clinical diagnosis of pathological gait disorders can provide a reliable basis for development and efficacy evaluation of rehabilitation programs. Under certain circumstances of laboratories, it is usually more difficult to obtain the patient's real gait information by the traditional three-dimensional gait analysis methods (based on markers-based human motion capture in video, pressure plate, etc.). This paper proposes a new method for kinematic parameters extraction of pathological gait based on 3D tracking trajectory of head vertex due to the results of prior work. And the kinematic parameters of pathological gait are extracted from the three-dimensional trajectory of the head vertex (including the vertical displacement and lateral displacement) formed during the patient walking in a multi-camera vision system. Preliminary results show the method is simple, effective with small amount of computation.
KW - 3D tracking trajectory of head vertex
KW - Kinematic parameters
KW - Pathological gait
UR - https://www.scopus.com/pages/publications/84932184972
U2 - 10.1109/WCICA.2014.7052939
DO - 10.1109/WCICA.2014.7052939
M3 - 会议稿件
AN - SCOPUS:84932184972
T3 - Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
SP - 1491
EP - 1495
BT - Proceeding of the 11th World Congress on Intelligent Control and Automation, WCICA 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 11th World Congress on Intelligent Control and Automation, WCICA 2014
Y2 - 29 June 2014 through 4 July 2014
ER -