XML Skeleton Definitions for Human Posture Assessments.

Lins, Christian; Fudickar, Sebastian; Hein, Andreas

Lins, Christian; Fudickar, Sebastian; Hein, Andreas.

Afiliación

Lins C; OFFIS - Institute for Information Technology, Oldenburg, Germany.
Fudickar S; Carl von Ossietzky University, Oldenburg, Germany.
Hein A; Carl von Ossietzky University, Oldenburg, Germany.

Stud Health Technol Inform ; 253: 225-229, 2018.

Article en En | MEDLINE | ID: mdl-30147079

RESUMEN

In this paper, we show how the XML dialect SKAML (Skeletal Assessment Markup Language) can be used to use data from one or more Motion Capture systems to perform human posture assessments with multiple assessment methods. We show an implementation example using an inertial measuring suit and both OWAS and REBA assessment methods. SKAML makes it possible to implement classifiers for a Motion Capture system once and adapt the classifier by-configuration to various ergonomics assessment methods. We anticipate our work as help for researchers and developers that implement new assessment methods or motion capture systems.

Asunto(s)

Ergonomía; Postura; Programas Informáticos; Humanos; Movimiento (Física); Lenguajes de Programación; Estadística como Asunto

Palabras clave

OWAS; REBA; SKAML; Skeleton markup; motion capture; musculoskeletal disorders; posture assessment; posture classification

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Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Postura / Programas Informáticos / Ergonomía Límite: Humans Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2018 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Países Bajos

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