Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/69981
Title: Displacement estimation for different gait patterns in micro-sensor motion capture
Authors: Meng, X.
Tao, G.
Zhang, Z.
Sun, S.
Wu, J.
Wong, W.-C. 
Keywords: Complementary Kalman filter
Displacement estimation
Human biomechanical model
Motion capture
Issue Date: 2012
Source: Meng, X.,Tao, G.,Zhang, Z.,Sun, S.,Wu, J.,Wong, W.-C. (2012). Displacement estimation for different gait patterns in micro-sensor motion capture. 15th International Conference on Information Fusion, FUSION 2012 : 1315-1322. ScholarBank@NUS Repository.
Abstract: The human body displacement estimation in different gait patterns using wearable sensors is extremely challenging due to lack of external references. In this paper, we present a novel algorithm to estimate the Center of Mass (CoM) displacement of human body during walking, running and hopping using 7 body-worn Sensor Measurement Units (SMUs). The lower body posture and feet displacements are firstly estimated by a complementary Kalman filter (CKF) which compensates the orientation, velocity and position errors of the Inertial Navigation system (INS) solutions through its error state vector. The CoM displacement can then be acquired by further fusion of the lower body posture and feet locations based on the linked biomechanical model. The experimental results have shown that our method can accurately capture human motion including orientation and locomotion for these three different gait patterns with regard to the optical motion tracker. © 2012 ISIF (Intl Society of Information Fusi).
Source Title: 15th International Conference on Information Fusion, FUSION 2012
URI: http://scholarbank.nus.edu.sg/handle/10635/69981
ISBN: 9780982443859
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

29
checked on Dec 16, 2017

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.