Ahmad, R. and Che Omar, M. B. and Yaacob, Mohd Shafik and Hussein, M. and Md Zain, M. Z. (2008) Modeling of human motion through motion captured data. In: Proceedings - International Symposium on Information Technology 2008, ITSim. Institute of Electrical and Electronics Engineers, New York, 2070 -2076. ISBN 978-142442328-6
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Official URL: http://dx.doi.org/10.1109/ITSIM.2008.4632064
In this project, types of human motion studied in kinematics field are walking and running. The area of interest of the analyzing is lower part of human body segment. A video camera with medium resolution and frame rate is used as an image device to capture the human motion. The image is processed and analyzed to determine the location of every marker at each sequence of motion. Each marker represents a specific part of human body. The extracted data of location for specified limbs is used as a basic data. This basic data of coordinate is transformed intoangle data to be the raw data in modeling the motion using non-linear identification. The parametric methods are used in modeling human motion. Finally, the identified models are validated using some model validation techniques.
|Item Type:||Book Section|
|Additional Information:||ISBN: 978-142442328-6; International Symposium on Information Technology 2008, ITSim; Kuala Lumpur; 26 August 2008 through 29 August 2008|
|Uncontrolled Keywords:||area of interests, frame rates, human bodies, human body segments, human motions, image devices, model validations, parametric methods, raw datums, information technology|
|Subjects:||T Technology > TJ Mechanical engineering and machinery|
|Deposited By:||Liza Porijo|
|Deposited On:||18 Jun 2011 21:46|
|Last Modified:||18 Jun 2011 21:46|
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