DocumentCode
2313971
Title
Estimation of Center of Mass Displacement Based on Gait Analysis
Author
Meng, Xiaoli ; Sun, Shuyan ; Ji, Lianying ; Wu, Jiankang ; Wong, Wai-Choong
Author_Institution
Grad. Univ. of Chinese Acad. of Sci., Beijing, China
fYear
2011
fDate
23-25 May 2011
Firstpage
150
Lastpage
155
Abstract
This paper proposes an ambulatory algorithm to estimate Center of Mass (CoM) displacement of the subjects for Micro-sensor Motion Capture (MMoCap) system. Estimation of the CoM displacement is based on gait analysis and segmental kinematics. In our MMoCap system, the human body is modeled as a kinematic chain of rigid segments linked by joints, and the pelvis is considered as the root joint in the model. Each joint´s relative positions are obtained from hierarchical transformations. The CoM displacement is imported into the root joint of a human skeleton model to track human locomotion with reference to the global coordinate system. Performance of the algorithm is evaluated using simulated sensor data obtained from an optical motion capture database and also by our ambulatory MMoCap system. The experimental results show robust and continuous tracking of CoM movements while a subject is walking.
Keywords
bioMEMS; gait analysis; kinematics; microsensors; physiological models; ambulatory algorithm; center of mass displacement; continuous tracking; gait analysis; global coordinate system; hierarchical transformations; human skeleton model; kinematic chain; microsensor motion capture system; optical motion capture database; pelvis; segmental kinematics; simulated sensor data; walking; Acceleration; Estimation; Foot; Humans; Joints; Leg; Legged locomotion; Center of Mass; displacement estimation; gait analysis; human locomotion; micro-sensor motion capture;
fLanguage
English
Publisher
ieee
Conference_Titel
Body Sensor Networks (BSN), 2011 International Conference on
Conference_Location
Dallas, TX
Print_ISBN
978-1-4577-0469-7
Electronic_ISBN
978-0-7695-4431-1
Type
conf
DOI
10.1109/BSN.2011.32
Filename
5955314
Link To Document