HapticV1, PascalFrancis, Corpus, bibRecord, 001118

A method for dynamics identification for haptic display of the operating feel in virtual environments

Identifieur interne : 001118 ( PascalFrancis/Corpus ); précédent : 001117; suivant : 001119

A method for dynamics identification for haptic display of the operating feel in virtual environments

Source :

IEEE/ASME transactions on mechatronics [ 1083-4435 ] ; 2003.

RBID : Pascal:04-0073739

Abstract

Realistic dynamics models are important for haptic display for virtual reality systems. Such dynamic models are desirably obtained via experimental identification. However, traditional dynamics identification methods normally require large sized training data sets, which maybe difficult to meet in many practical applications. To obtain the dynamics models, we present, in this paper, an identification method using support vector machines regression algorithm which is more effective than traditional methods for sparse training data. This method can be used as a generic learning machine or as a special learning technique that can make full use of the available knowledge about the dynamics structure. The experimental results show the application of our method for identifying friction models for haptic display.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

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A14	`01`			`@1 Department of Manufacturing Engineering and Engineering Management, City University of Hong Kong @2 Kowloon @3 HKG @Z 1 aut. @Z 2 aut.`
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C01	`01`		`ENG`	@0 Realistic dynamics models are important for haptic display for virtual reality systems. Such dynamic models are desirably obtained via experimental identification. However, traditional dynamics identification methods normally require large sized training data sets, which maybe difficult to meet in many practical applications. To obtain the dynamics models, we present, in this paper, an identification method using support vector machines regression algorithm which is more effective than traditional methods for sparse training data. This method can be used as a generic learning machine or as a special learning technique that can make full use of the available knowledge about the dynamics structure. The experimental results show the application of our method for identifying friction models for haptic display.
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Format Inist (serveur)

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ET :	A method for dynamics identification for haptic display of the operating feel in virtual environments
AU :	LI (Y. F.); BI (D.)
AF :	Department of Manufacturing Engineering and Engineering Management, City University of Hong Kong/Kowloon/Hong-Kong (1 aut., 2 aut.)
DT :	Publication en série; Niveau analytique
SO :	IEEE/ASME transactions on mechatronics; ISSN 1083-4435; Etats-Unis; Da. 2003; Vol. 8; No. 4; Pp. 476-482; Bibl. 14 ref.
LA :	Anglais
EA :	Realistic dynamics models are important for haptic display for virtual reality systems. Such dynamic models are desirably obtained via experimental identification. However, traditional dynamics identification methods normally require large sized training data sets, which maybe difficult to meet in many practical applications. To obtain the dynamics models, we present, in this paper, an identification method using support vector machines regression algorithm which is more effective than traditional methods for sparse training data. This method can be used as a generic learning machine or as a special learning technique that can make full use of the available knowledge about the dynamics structure. The experimental results show the application of our method for identifying friction models for haptic display.
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Pascal:04-0073739

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A method for dynamics identification for haptic display of the operating feel in virtual environments

A method for dynamics identification for haptic display of the operating feel in virtual environments

Source :

Abstract

Notice en format standard (ISO 2709)

Format Inist (serveur)

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri