@inproceedings{lins2018xml,Author = {Lins, Christian and Fudickar, Sebastian and Hein, Andreas},Title = {XML Skeleton Definitions for Human Posture Assessments},Year = {2018},Volume = {253},Pages = {225-230},Publisher = {IOS Press},Booktitle = {German Medical Data Sciences: A Learning Healthcare System, Proceedings of the 63rd Annual Meeting of the German Association of Medical Informatics, Biometry and Epidemiology (gmds e.V.)},Organization = {GMDS},Doi = {10.3233/978-1-61499-896-9-225},type = {inproceedings},Abstract = {In this paper, we show how the XML dialect SKAML (SkeletalAssessment 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 andboth 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 ormotion capture systems.}}@COMMENT{Bibtex file generated on }