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Medical Imaging with Deep Learning
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SKAML: An XML Markup Language for Abstract Skeleton Definitions in the Context of Human Posture Assessments

TitleSKAML: An XML Markup Language for Abstract Skeleton Definitions in the Context of Human Posture Assessments
Publication TypeConference Paper
Year of Publication2018
AuthorsLins C., Fudickar S., Hein A.
Conference NameMedical Informatics Europe
Date Published2018
Conference LocationGothenburg, Sweden
KeywordsErgonomics Assessment, Informationenfehlen, Motion capture, Musculoskeletal Disorders, Skeleton Markup, UNIAMT, UNILLM, Unpublished
Abstract

An XML-dialect for the description and configuration of abstract human skeletons for ergonomics assessments with motion capture (MoCap) systems -the Skeletal Assessment Markup Language (SKAML) -is presented. A SKAML document is the semantic description of the MoCap system and assessment method conjunction. It describes the skeletal system of a human body as a system of rigid bones and joints from a MoCap observer perspective and allows straightforward combinations of MoCap data and digitized methods for ergonomics assessments. We anticipate our work as help for researchers and developers that implement new assessment methods or MoCap systems.

URLhttps://www.researchgate.net/profile/Christian_Lins/publication/325596419_SKAML_An_XML_Markup_Language_for_Abstract_Skeleton_Definitions_in_the_Context_of_Human_Posture_Assessments/links/5ba9ff27a6fdccd3cb70e564/SKAML-An-XML-Markup-Language-for-Abstract-S
Created at November 22, 2021 - 2:56pm by Fudickar.

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