Shape Localization and Recognition Using a Magnetorheological-Fluid Haptic Display

Smart materials such as magnetorheological fluids (MRF) offer an interesting technology for use 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...

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Bibliographic Details
Published in:IEEE transactions on haptics 2018-04, Vol.11 (2), p.317-321
Main Authors: Rizzo, Rocco, Musolino, Antonino, Jones, Lynette A.
Format: Article
Language:English
Subjects:
Actuators
Adult
and virtual environments
Coils
Electromagnetic Phenomena
Electronics, Medical
Female
Fluid dynamics
Fluids
Form Perception - physiology
Haptic interfaces
hardware and software that enable touch-based interactions with real
Humans
Information transfer
Localization
Magnetic fields
Magnetorheological fluids
Male
remote
Shape
Shape recognition
Simulators
Smart materials
Surgery
tactile communication
Technology utilization
Touch Perception - physiology
Touch-based properties and capabilities of the human user
User-Computer Interface
Viscoelasticity
Young Adult
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Summary:Smart materials such as magnetorheological fluids (MRF) offer an interesting technology for use 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 objective of the present set of experiments was first to determine whether a shape embedded in the MRF could be precisely localized and second whether 10 shapes rendered in a MRF haptic display could be accurately identified. It was also of interest to determine how the information transfer associated with this type of haptic display compares to that achieved using other haptic channels of communication. The overall performance of participants at identifying the shapes rendered in the MRF was good with a mean score of 73 percent correct and an Information Transfer (IT) of 2.2 bits. Participants could also localize a rigid object in the display accurately. These findings indicate that this technology has potential for use in training manual palpation skills and in exploring haptic shape perception in dynamic environments.
ISSN:1939-1412
2329-4051
DOI:10.1109/TOH.2017.2771420