Invariant Spatial Parametrization of Human Thoracohumeral Kinematics: A Feasibility Study
2016 (English)Conference paper (Refereed)
In this paper, we present a novel kinematic framework using hybrid twists, that has the potential to improve the reliability of estimated human shoulderkinematics. This is important as the functional aspects ofthe human shoulder are evaluated using the information embedded in thoracohumeral kinematics. We successfully demonstrate in our results, that our approach is invariant of the body-ﬁxed coordinate deﬁnition, is singularity free and has high repeatability; thus resulting in a ﬂexible user-speciﬁc kinematic tracking not restricted to bony landmarks.
Place, publisher, year, edition, pages
IEEE Robotics and Automation Society, 2016.
Human movement analysis, Kinematics, Human detection and tracking
IdentifiersURN: urn:nbn:se:hig:diva-22193OAI: oai:DiVA.org:hig-22193DiVA: diva2:951190
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2016), 9-14 October 2016, Daejeon, Korea
FunderVINNOVA, AAL 2013-6-042
Accepted paper. This preprint is for personal use only.2016-08-072016-08-072016-08-15Bibliographically approved