Improved Feature Detection over Large Force Ranges Using History Dependent Transfer Functions
2009 (English)In: Third Joint Eurohaptics Conference and Symposium on Haptic Interfaces for Virtual Environments and Teleoperator Systems, WorldHaptics 2009, IEEE , 2009, 476-481 p.Conference paper (Refereed)
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.
Place, publisher, year, edition, pages
IEEE , 2009. 476-481 p.
Haptics, Virtual Reality, Scientific Visualization
IdentifiersURN: urn:nbn:se:liu:diva-45355DOI: 10.1109/WHC.2009.4810843Local ID: 81912ISBN: 978-1-4244-3858-7OAI: oai:DiVA.org:liu-45355DiVA: diva2:266217
Third Joint EuroHaptics conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems. World Haptics 2009.Salt Lake City, UT, USA, 18-20 March 2009
©2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. Petter Bivall Persson, Gunnar E. Höst, Matthew D. Cooper, Lena A. E. Tibell and Anders Ynnerman, Improved Feature Detection over Large Force Ranges Using History Dependent Transfer Functions, 2009, Third Joint Eurohaptics Conference and Symposium on Haptic Interfaces for Virtual Environments and Teleoperator Systems, WorldHaptics 2009, 476-481. http://dx.doi.org/10.1109/WHC.2009.48108432009-10-102009-10-102016-05-04Bibliographically approved