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Improved Feature Detection over Large Force Ranges Using History Dependent Transfer Functions
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- Bivall Persson, Petter, 1979- (author)
- Linköpings universitet,Visuell informationsteknologi och applikationer,Tekniska högskolan
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- Höst, Gunnar E., 1976- (author)
- Linköpings universitet,Visuell informationsteknologi och applikationer,Tekniska högskolan,Visual learning and communication
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- Cooper, Matthew D., 1965- (author)
- Linköpings universitet,Visuell informationsteknologi och applikationer,Tekniska högskolan
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- (creator_code:org_t)
- IEEE, 2009
- 2009
- English.
- In: Third Joint Eurohaptics Conference and Symposium on Haptic Interfaces for Virtual Environments and Teleoperator Systems, WorldHaptics 2009. - : IEEE. - 9781424438587 ; , s. 476-481
- Conference paper (peer-reviewed)
Abstract
Subject headings
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- In this paper we present a history dependent transfer function (HDTF) as a possible approach to enable improved haptic feature detection in high dynamic range (HDR) volume data. The HDTF is a multi-dimensional transfer function that uses the recent force history as a selection criterion to switch between transfer functions, thereby adapting to the explored force range. The HDTF has been evaluated using artificial test data and in a realistic application example, with the HDTF applied to haptic protein-ligand docking. Biochemistry experts performed docking tests, and expressed that the HDTF delivers the expected feedback across a large force magnitude range, conveying both weak attractive and strong repulsive protein-ligand interaction forces. Feature detection tests have been performed with positive results, indicating that the HDTF improves the ability of feature detection in HDR volume data as compared to a static transfer function covering the same range.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Annan teknik -- Interaktionsteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Other Engineering and Technologies -- Interaction Technologies (hsv//eng)
Keyword
- Haptics
- Virtual Reality
- Scientific Visualization
- TECHNOLOGY
- TEKNIKVETENSKAP
Publication and Content Type
- ref (subject category)
- kon (subject category)
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