NDLI: Estimating human body segment parameters using motion capture data

Content Provider	IEEE Xplore Digital Library
Author	Jianjun Zhao Yi Wei Shihong Xia Zhaoqi Wang
Copyright Year	2010
Description	Author affiliation: Graduate School of the Chinese Academy of Sciences, China (Jianjun Zhao) \|\| Institute of Computing Technology of the Chinese Academy of Sciences, Beijing, China, 100049 (Yi Wei; Shihong Xia; Zhaoqi Wang)
Abstract	The estimation of human body segment properties (BSPs), including mass, centroid and moments of inertia, is required in the kinetic analysis of human motion. Nowadays, with the development of motion capture technology, motion capture data plays an important role in the kinetic analysis of human motion. An interesting problem is whether BSPs can be estimated using the motion capture data. It is well known that the motions of human body should obey Newton's laws of mechanics, which means that human BSPs and motion data should satisfy the motion equation. Then we build an optimization model according to this principle where the objective function measures the degree of mismatch between motion data, human BSPs and Newton's laws of mechanics. By solving this optimization model, we can estimate the human BSPs. To deal with this optimization, we adopt three strategies: variables block, adjustment on constraints and stochastic local search. This method has two advantages. First, given motion capture data, BSPs can be estimated directly without carrying out additional measurements, such as CT imaging. Second, BSPs and motion capture data can be analyzed together. Simulation experimental results show that the errors of mass, centroid and moment of inertia can be controlled within 10%, 5% and 15% respectively.
Starting Page	243
Ending Page	249
File Size	267120
Page Count	7
File Format	PDF
ISBN	9781424478217
e-ISBN	9781424478200
DOI	10.1109/IUCS.2010.5666224
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Torque Motion segmentation Biological system modeling Force Humans Mathematical model Optimization
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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