Haptics-based Modelling of Pigmented Skin Lesions

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dc.contributor.authorGranados, Alejandroen_US
dc.contributor.authorBryan, Jamesen_US
dc.contributor.authorAbdalla, Tahaen_US
dc.contributor.authorOsborne, Genevieveen_US
dc.contributor.authorBello, Fernandoen_US
dc.contributor.editorKatja Bühler and Lars Linsen and Nigel W. Johnen_US
dc.date.accessioned2015-09-14T04:49:04Z
dc.date.available2015-09-14T04:49:04Z
dc.date.issued2015en_US
dc.description.abstractDermatology is under-represented in medical undergraduate education with newly graduated doctors not being able to identify common and important skin conditions. In order to become competent in diagnosing skin lesions, it is important to encounter multiple examples of a condition, as they vary between individuals. Three popular lesions have been identified due to their importance, including nodular melanoma, seborrhoeic keratosis and cherry haemangioma. In this paper we propose a haptics-enabled learning tool for pigmented skin lesions based on haptic texturing. Geometrical modelling, skin deformation and haptics modelling are described. Results of the implementation are presented along with an initial validation study comparing the haptics-based simulator with other methods, including temporary tattoos and silicon made models.en_US
dc.description.sectionheadersHaptics and Interactionen_US
dc.description.seriesinformationEurographics Workshop on Visual Computing for Biology and Medicineen_US
dc.identifier.doi10.2312/vcbm.20151219en_US
dc.identifier.isbn978-3-905674-82-8en_US
dc.identifier.issn2070-5786en_US
dc.identifier.pages159-165en_US
dc.identifier.urihttps://doi.org/10.2312/vcbm.20151219en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.6.5 [Simulation and Modeling]en_US
dc.subjectModel Developmenten_US
dc.subjectModeling methodologies H.5.2 [Information Interfaces and Presentation]en_US
dc.subjectUser Interfacesen_US
dc.subjectHaptic I/Oen_US
dc.titleHaptics-based Modelling of Pigmented Skin Lesionsen_US
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VCBM 15: Eurographics Workshop on Visual Computing for Biology and Medicine