A comparison for capturing arm kinematics using solutions of Wahba's problem and ordinary data fusion mechanisms

Karunarathne, M. Sajeewani and Pathirana, Pubudu N. 2017, A comparison for capturing arm kinematics using solutions of Wahba's problem and ordinary data fusion mechanisms, in WECON 2016 : Proceedings of the 5th International Conference on Wireless Networks and Embedded Systems, Institute of Electrical and Electronics Engineers, Piscataway, N.J., doi: 10.1109/WECON.2016.7993485.

Attached Files
Name Description MIMEType Size Downloads

Title A comparison for capturing arm kinematics using solutions of Wahba's problem and ordinary data fusion mechanisms
Author(s) Karunarathne, M. Sajeewani
Pathirana, Pubudu N.ORCID iD for Pathirana, Pubudu N. orcid.org/0000-0001-8014-7798
Conference name Wireless Networks and Embedded Systems : International Conference (6th : 2016 : Rajpura, India)
Conference location Rajpura, India
Conference dates 14 - 16 Oct. 2016
Title of proceedings WECON 2016 : Proceedings of the 5th International Conference on Wireless Networks and Embedded Systems
Publication date 2017
Series Wireless Networks and Embedded Systems International Conference
Conference series Wireless Networks and Embedded Systems International Conference
Total pages 5
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Keyword(s) complementary filter
inertial sensor
upper body tracking
solutions for Wahba's problem
ISBN 9781509008933
Language eng
DOI 10.1109/WECON.2016.7993485
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2016, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30106267

Document type: Conference Paper
Collection: School of Engineering
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 3 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 38 Abstract Views, 2 File Downloads  -  Detailed Statistics
Created: Tue, 13 Feb 2018, 15:53:52 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.