Stroke-based modeling and haptic skill display for Chinese calligraphy simulation system
Identifieur interne : 006033 ( Main/Exploration ); précédent : 006032; suivant : 006034Stroke-based modeling and haptic skill display for Chinese calligraphy simulation system
Auteurs : Daniel Wang [République populaire de Chine] ; YURU ZHANG [République populaire de Chine] ; CHONG YAO [République populaire de Chine]Source :
- Virtual reality : (Waltham Cross) [ 1359-4338 ] ; 2006.
Descripteurs français
- Pascal (Inist)
- Wicri :
- topic : Réalité virtuelle, Didacticiel.
English descriptors
- KwdEn :
Abstract
The goal of this paper is to study haptic skill representation and display in a Chinese calligraphy training system. The challenge is to model haptic skill during the writing of different strokes in Chinese characters and to achieve haptic rendering with high fidelity and stability. The planning of the writing process is organized at three levels: task, representation and device level to describe the haptic handwriting skill. State transition graph (STG) is proposed to describe switches between tasks during the handwriting. Chinese characters are modeled using 39 typical strokes, which are further grouped into basic and compound strokes. The compound stroke is considered to be sequential combination of the basic strokes. Straight and curve strokes are modeled using line segment and the Bezier curve, respectively. Information from STG is used for real-time collision detection and haptic rendering. Ambiguity of the collision detection at stroke-corner points is prevented using active stroke combined with local nearest point computation. A modified virtual fixture method is developed for haptic rendering. The approach is tested on a prototype training system using Phantom desktop. Initial experiments suggest that the proposed modeling and rendering method is effective.
Affiliations:
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Le document en format XML
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Cross)</title><idno type="ISSN">1359-4338</idno><imprint><date when="2006">2006</date></imprint></series></biblStruct></sourceDesc><seriesStmt><title level="j" type="main">Virtual reality : (Waltham Cross)</title><title level="j" type="abbreviated">Virtual reality : (Walth. Cross)</title><idno type="ISSN">1359-4338</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Chinese</term><term>Educational software program</term><term>Manuscript character</term><term>Tactile sensitivity</term><term>Virtual reality</term></keywords><keywords scheme="Pascal" xml:lang="fr"><term>Réalité virtuelle</term><term>Sensibilité tactile</term><term>Caractère manuscrit</term><term>Didacticiel</term><term>Chinois</term><term>Système simulation calligraphie chinoise</term></keywords><keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Réalité virtuelle</term><term>Didacticiel</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The goal of this paper is to study haptic skill representation and display in a Chinese calligraphy training system. The challenge is to model haptic skill during the writing of different strokes in Chinese characters and to achieve haptic rendering with high fidelity and stability. The planning of the writing process is organized at three levels: task, representation and device level to describe the haptic handwriting skill. State transition graph (STG) is proposed to describe switches between tasks during the handwriting. Chinese characters are modeled using 39 typical strokes, which are further grouped into basic and compound strokes. The compound stroke is considered to be sequential combination of the basic strokes. Straight and curve strokes are modeled using line segment and the Bezier curve, respectively. Information from STG is used for real-time collision detection and haptic rendering. Ambiguity of the collision detection at stroke-corner points is prevented using active stroke combined with local nearest point computation. A modified virtual fixture method is developed for haptic rendering. The approach is tested on a prototype training system using Phantom desktop. Initial experiments suggest that the proposed modeling and rendering method is effective.</div></front></TEI><affiliations><list><country><li>République populaire de Chine</li></country><settlement><li>Pékin</li></settlement></list><tree><country name="République populaire de Chine"><noRegion><name sortKey="Wang, Daniel" sort="Wang, Daniel" uniqKey="Wang D" first="Daniel" last="Wang">Daniel Wang</name></noRegion><name sortKey="Chong Yao" sort="Chong Yao" uniqKey="Chong Yao" last="Chong Yao">CHONG YAO</name><name sortKey="Yuru Zhang" sort="Yuru Zhang" uniqKey="Yuru Zhang" last="Yuru Zhang">YURU ZHANG</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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