Displaying shape haptically using MRF-based device.
Identifieur interne : 000956 ( Main/Exploration ); précédent : 000955; suivant : 000957Displaying shape haptically using MRF-based device.
Auteurs : Rocco Rizzo ; Antonino Musolino ; Mauro Tucci ; Lynette A. JonesSource :
- Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference [ 1557-170X ] ; 2015.
Abstract
Smart materials such as magnetorheological fluids (MRF) offer an interesting medium to present viscoelastic cues in haptic displays as changes in the magnetic field are rapid, reversible and controllable. These interfaces have been evaluated in a number of medical and surgical simulators where they can provide cues regarding the viscoelastic properties of tissues. The present experiment determined whether eight different shapes could be identified reliably with a MRF haptic display and compared the information transfer (IT) associated with this type of display with that achieved by other forms of haptic communication. The overall performance of participants at identifying the shapes was good with a mean score of 70% correct and an IT of 2.13 bits. This type of display shows promise as a training tool for simulating tissue properties.
DOI: 10.1109/EMBC.2015.7318573
PubMed: 26736473
Affiliations:
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Le document en format XML
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<front><div type="abstract" xml:lang="en">Smart materials such as magnetorheological fluids (MRF) offer an interesting medium to present viscoelastic cues in haptic displays as changes in the magnetic field are rapid, reversible and controllable. These interfaces have been evaluated in a number of medical and surgical simulators where they can provide cues regarding the viscoelastic properties of tissues. The present experiment determined whether eight different shapes could be identified reliably with a MRF haptic display and compared the information transfer (IT) associated with this type of display with that achieved by other forms of haptic communication. The overall performance of participants at identifying the shapes was good with a mean score of 70% correct and an IT of 2.13 bits. This type of display shows promise as a training tool for simulating tissue properties.</div>
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