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Viscosity Perception of Virtual Fluids rendered by a Hand Exoskeleton

Schmidt, Annika (2018) Viscosity Perception of Virtual Fluids rendered by a Hand Exoskeleton. Masterarbeit, Delft University of Technology.

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Kurzfassung

Enabling haptic interaction with non-solid materials, such as liquids or sediments, could expand possibilities for exploration of virtual or remote environments, which would e.g enable training divers and astronauts in simulators. To allow application of natural investigation procedures in such scenarios, haptic interfaces with several degrees of freedom (DOF) are necessary, which allow the interaction with a variety of solid objects as well as different surrounding mediums. The goal of this work is to develop an algorithm for a high-DOF hand exoskeleton as haptic interface connected to five points on the human hand, that enables the perception of virtual fluids by rendering the fluids' prominent proprioceptive characteristic (viscosity). To allow simultaneous rendering of virtual solid objects of varying stiffness, a high update rate should be maintained. To quantify human perception of the rendered fluid, two user studies are carried out. The first investigates the ability to perceive fluids of low viscosity such as water, while the second deals with the discrimination ability for higher viscous virtual fluids. For virtual fluids with low viscosity, it is found that a linear relationship exists between the rendered and perceived viscosity with a scaling factor of 2. Fluids with high viscosity (> 10 Pa s) can be discriminated well, achieving similar values for the Weber fractions (w = 0.3) as are found in real interactions with fluids. The results of both experiments prove that properties of fluids rendered using simplified models to allow high update frequencies (833 Hz) can still be discriminated by human users.

elib-URL des Eintrags:https://elib.dlr.de/121998/
Dokumentart:Hochschulschrift (Masterarbeit)
Titel:Viscosity Perception of Virtual Fluids rendered by a Hand Exoskeleton
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Schmidt, AnnikaNICHT SPEZIFIZIERTNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:September 2018
Referierte Publikation:Nein
Open Access:Ja
Seitenanzahl:91
Status:veröffentlicht
Stichwörter:human machine interaction, multi-finger force feedback, proprioception, drag forces, fluid dynamics
Institution:Delft University of Technology
Abteilung:Faculty of Mechanical, Maritime and Materials Engineering (3mE)
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Raumfahrt
HGF - Programmthema:Robotik
DLR - Schwerpunkt:Raumfahrt
DLR - Forschungsgebiet:R RO - Robotik
DLR - Teilgebiet (Projekt, Vorhaben):R - Interagierende Robotersteuerung [RO], R - Intuitive Mensch-Roboter Schnittstelle [RO]
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Institut für Robotik und Mechatronik (ab 2013) > Autonomie und Fernprogrammierung
Hinterlegt von: Schmidt, Annika
Hinterlegt am:24 Sep 2023 05:48
Letzte Änderung:24 Sep 2023 05:48

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