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Kinematics modeling of human motion using system identification technique

Image processing techniques from motion captured images are accurate and cost effective method to give a set of data that defines the location of specified limb at every sequence of human motion. From this set of data, system identification was done to model the human motion. This project is a study...

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Main Authors: Ahmad, R. R., Yaacob, Mohd Shafik, Che Omar, M. B.
Format: Book Section
Published: Institute of Electrical and Electronics Engineers 2008
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://eprints.utm.my/id/eprint/12609/
http://dx.doi.org/10.1109/AMS.2008.178
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id my.utm.12609
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spelling my.utm.126092011-06-14T05:16:10Z http://eprints.utm.my/id/eprint/12609/ Kinematics modeling of human motion using system identification technique Ahmad, R. R. Yaacob, Mohd Shafik Che Omar, M. B. TJ Mechanical engineering and machinery Image processing techniques from motion captured images are accurate and cost effective method to give a set of data that defines the location of specified limb at every sequence of human motion. From this set of data, system identification was done to model the human motion. This project is a study on how performance of a model is influenced by the type of model whether it is a linear model or non-linear model and a single variable model or multi variable model Two types of parameter estimator was used which were the least square estimate and recursive least square estimate. The study also was conducted to see how the number of lags can give effects to the model. The objective is to formulate a predictive model to analyze human motion. Simulation was done through the model to see the result and performance of model whether it can be a model for human motion representation. Institute of Electrical and Electronics Engineers 2008 Book Section PeerReviewed Ahmad, R. R. and Yaacob, Mohd Shafik and Che Omar, M. B. (2008) Kinematics modeling of human motion using system identification technique. In: Proceedings - 2nd Asia International Conference on Modelling and Simulation, AMS 2008. Institute of Electrical and Electronics Engineers, New York, 338 -343. ISBN 978-076953136-6 http://dx.doi.org/10.1109/AMS.2008.178 doi:10.1109/AMS.2008.178
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Ahmad, R. R.
Yaacob, Mohd Shafik
Che Omar, M. B.
Kinematics modeling of human motion using system identification technique
description Image processing techniques from motion captured images are accurate and cost effective method to give a set of data that defines the location of specified limb at every sequence of human motion. From this set of data, system identification was done to model the human motion. This project is a study on how performance of a model is influenced by the type of model whether it is a linear model or non-linear model and a single variable model or multi variable model Two types of parameter estimator was used which were the least square estimate and recursive least square estimate. The study also was conducted to see how the number of lags can give effects to the model. The objective is to formulate a predictive model to analyze human motion. Simulation was done through the model to see the result and performance of model whether it can be a model for human motion representation.
format Book Section
author Ahmad, R. R.
Yaacob, Mohd Shafik
Che Omar, M. B.
author_facet Ahmad, R. R.
Yaacob, Mohd Shafik
Che Omar, M. B.
author_sort Ahmad, R. R.
title Kinematics modeling of human motion using system identification technique
title_short Kinematics modeling of human motion using system identification technique
title_full Kinematics modeling of human motion using system identification technique
title_fullStr Kinematics modeling of human motion using system identification technique
title_full_unstemmed Kinematics modeling of human motion using system identification technique
title_sort kinematics modeling of human motion using system identification technique
publisher Institute of Electrical and Electronics Engineers
publishDate 2008
url http://eprints.utm.my/id/eprint/12609/
http://dx.doi.org/10.1109/AMS.2008.178
_version_ 1643645996492652544
score 13.244414

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