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SHAPE Algorithm for Approximate Computation of Angular Velocities in Humeral Motion
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences. Robotics, Perception and Learning, School of Computer Science and Communication, KTH - Royal Institute of Technology, Stockholm, Sweden.. (Electronics)ORCID iD: 0000-0002-5970-2985
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences. (Electronics)ORCID iD: 0000-0001-5429-7223
2017 (English)Conference paper (Refereed)
Abstract [en]

Estimating human motion is an area of emerging interest in instrumentation and measurement. Importantly, in such applications the physicality of the solutionis paramount. Therefore, our paper proposes the SHAPE algorithm to estimate angular velocities of a moving segment from a cluster of passive markers used in a standard motion capture system known as stereophotogrammetry.We demonstrate the efficacy of our formulation with reference to the well known shape-matching algorithm incomputer graphics. It is shown that our method is superior over the shape-matching algorithm

Place, publisher, year, edition, pages
Torino, Italy: IEEE, 2017.
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:hig:diva-24114OAI: oai:DiVA.org:hig-24114DiVA: diva2:1107502
Conference
2017 International Instrumentation and Measurement Technology Conference (I2MTC)
Funder
VINNOVA, AAL 2013-6-042
Note

This preprint is for personal use only.

Available from: 2017-06-09 Created: 2017-06-09 Last updated: 2017-06-09

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CiteExportLink to record
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