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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| Format: | Book Section |
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Institute of Electrical and Electronics Engineers
2008
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| _version_ | 1796855108002119680 |
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| 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. |
| collection | ePrints |
| 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. |
| first_indexed | 2024-03-05T18:23:47Z |
| format | Book Section |
| id | utm.eprints-12609 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T18:23:47Z |
| publishDate | 2008 |
| publisher | Institute of Electrical and Electronics Engineers |
| record_format | dspace |
| spelling | utm.eprints-126092011-06-14T05:16:10Z http://eprints.utm.my/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 |
| 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 |
| title | 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_short | Kinematics modeling of human motion using system identification technique |
| title_sort | kinematics modeling of human motion using system identification technique |
| topic | TJ Mechanical engineering and machinery |
| work_keys_str_mv | AT ahmadrr kinematicsmodelingofhumanmotionusingsystemidentificationtechnique AT yaacobmohdshafik kinematicsmodelingofhumanmotionusingsystemidentificationtechnique AT cheomarmb kinematicsmodelingofhumanmotionusingsystemidentificationtechnique |