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https://doi.org/10.1109/smc.20...
Article . 2016 . Peer-reviewed
Data sources: Crossref
DBLP
Conference object . 2017
Data sources: DBLP
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Haptic feedback tuning in colonoscopy simulation

Authors: Cédric Dumas; Timothy R. Coles; Hans de Visser; Caroline G. L. Cao; Florian Grimpen;

Haptic feedback tuning in colonoscopy simulation

Abstract

According to medical experts, haptic realism is difficult to achieve, and even more difficult to have inter-expert agreement on the haptic feedback of one simulation. However haptic feedback is important in medical training, and allows educators to share the forces felt during a procedure if they know and trust what a particular virtual simulator will provide to the trainee. A new approach is proposed to refine bio-mechanical models with experts' input, to closely match the forces felt during a simulated procedure with an expert trainer's expectations. By allowing experts to tune a training scenario's haptic feedback as they trial a newly developed case, the experts can replicate their haptic perception and match their expectations with the simulation.

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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    4
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Top 10%
Average
Average