Solving inverse kinematics using kohonen network for 3D human walking

Character animation in simulated virtual environments like computer games has progressed rapidly over the past few years. A wide variety of techniques are used in the process of creating 3D computer animation to build virtual worlds in which characters and objects move and interact. A wide-spread me...

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Main Author:	Abd. Salam, Nurul Hazra
Format:	Thesis
Language:	English
Published:	2006
Subjects:	QA75 Electronic computers Computer science
Online Access:	http://eprints.utm.my/id/eprint/3985/1/NurulHazraAbdSalamMFSKSM2006.pdf
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id	my-utm-ep.3985
record_format	uketd_dc
spelling	my-utm-ep.39852018-01-15T00:38:00Z Solving inverse kinematics using kohonen network for 3D human walking 2006-04 Abd. Salam, Nurul Hazra QA75 Electronic computers. Computer science Character animation in simulated virtual environments like computer games has progressed rapidly over the past few years. A wide variety of techniques are used in the process of creating 3D computer animation to build virtual worlds in which characters and objects move and interact. A wide-spread method for animating these articulated figures is kinematics. Inverse kinematics technique is the main concern in this project that refers to the problem of specifying the angles values for each joint when the end-point of the character articulation known. There are many different conventional methods to solve this problem, and this attention transformed the concept into a well-known animation alternative. However this study focuses on Kohonen network as an alternative way to solve the inverse kinematics in for walking animation for a simple human model. Kohonen learning algorithm captures two essential aspects of the map formation namely, competition and cooperation between neurons to produce a set of joint angles values when the position is defined. The ability of this artificial neural technique is proven by examining the training process and the result shows the effectiveness of Kohonen in finding the relationship and the continuity of the neurons. As highlighted by walking animation example, the Kohonen draws its good generalization capabilities through the topological order based of only a few reference vectors as a supervisor. 2006-04 Thesis http://eprints.utm.my/id/eprint/3985/ http://eprints.utm.my/id/eprint/3985/1/NurulHazraAbdSalamMFSKSM2006.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Computer Science and Information System Faculty of Computer Science and Information System
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	QA75 Electronic computers Computer science
spellingShingle	QA75 Electronic computers Computer science Abd. Salam, Nurul Hazra Solving inverse kinematics using kohonen network for 3D human walking
description	Character animation in simulated virtual environments like computer games has progressed rapidly over the past few years. A wide variety of techniques are used in the process of creating 3D computer animation to build virtual worlds in which characters and objects move and interact. A wide-spread method for animating these articulated figures is kinematics. Inverse kinematics technique is the main concern in this project that refers to the problem of specifying the angles values for each joint when the end-point of the character articulation known. There are many different conventional methods to solve this problem, and this attention transformed the concept into a well-known animation alternative. However this study focuses on Kohonen network as an alternative way to solve the inverse kinematics in for walking animation for a simple human model. Kohonen learning algorithm captures two essential aspects of the map formation namely, competition and cooperation between neurons to produce a set of joint angles values when the position is defined. The ability of this artificial neural technique is proven by examining the training process and the result shows the effectiveness of Kohonen in finding the relationship and the continuity of the neurons. As highlighted by walking animation example, the Kohonen draws its good generalization capabilities through the topological order based of only a few reference vectors as a supervisor.
format	Thesis
qualification_level	Master's degree
author	Abd. Salam, Nurul Hazra
author_facet	Abd. Salam, Nurul Hazra
author_sort	Abd. Salam, Nurul Hazra
title	Solving inverse kinematics using kohonen network for 3D human walking
title_short	Solving inverse kinematics using kohonen network for 3D human walking
title_full	Solving inverse kinematics using kohonen network for 3D human walking
title_fullStr	Solving inverse kinematics using kohonen network for 3D human walking
title_full_unstemmed	Solving inverse kinematics using kohonen network for 3D human walking
title_sort	solving inverse kinematics using kohonen network for 3d human walking
granting_institution	Universiti Teknologi Malaysia, Faculty of Computer Science and Information System
granting_department	Faculty of Computer Science and Information System
publishDate	2006
url	http://eprints.utm.my/id/eprint/3985/1/NurulHazraAbdSalamMFSKSM2006.pdf
_version_	1747814487332749312

Solving inverse kinematics using kohonen network for 3D human walking

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