The study to track human arm kinematics applying solutions of Wahba’s Problem upon inertial/magnetic sensors Maddumage, M. Sajeewani, Nguyen, Nhan Dang, Menikidiwela, Medhani P. and Pathirana, Pubudu N. 2016, The study to track human arm kinematics applying solutions of Wahba’s Problem upon inertial/magnetic sensors. In Chang, Carl K., Chiari, Lorenzo, Cao, Yu, Jin, Hai, Mokhtari, Mounir and Aloulou, Hamdi (ed), Inclusive smart cities and digital health, Springer, Berlin, Germany, pp.395-406, doi: 10.1007/978-3-319-39601-9_35. Attached Files Name Description MIMEType Size Downloads Title The study to track human arm kinematics applying solutions of Wahba’s Problem upon inertial/magnetic sensors Author(s) Maddumage, M. Sajeewani Nguyen, Nhan Dang Menikidiwela, Medhani P. Pathirana, Pubudu N. orcid.org/0000-0001-8014-7798 Title of book Inclusive smart cities and digital health Editor(s) Chang, Carl K. Chiari, Lorenzo Cao, Yu Jin, Hai Mokhtari, Mounir Aloulou, Hamdi Publication date 2016 Series Lecture notes in computer science Chapter number 35 Total chapters 45 Start page 395 End page 406 Total pages 12 Publisher Springer Place of Publication Berlin, Germany Keyword(s) wearable sensors arm activity monitoring MEMS sensors Wahba's problem and solutions Summary Long-term, off-site human monitoring systems are emerging with respect to the skyrocketing expenditures engaged with rehabilitation therapies for neurological diseases. Inertial/magnetic sensor modules are well known as a worthy solution for this problem. Much attention and effort are being paid for minimizing drift problem of angular rates, yet the rest of kinematic measurements (earth’s magnetic field and gravitational orientation) are only themselves capable enough to track movements applying the theory for solving historicalWahbas Problem. Further, these solutions give a closed form solution which makes it mostly suitable for real time Mo-Cap systems. This paper examines the feasibility of some typical solutions of Wahba’s Problem named TRIAD method, Davenport’s q method, Singular Value Decomposition method and QUEST algorithm upon current inertial/magnetic sensor measurements for tracking human arm movements. Further, the theoretical assertions are compared through controlled experiments with both simulated and actual accelerometer and magnetometer measurements. ISBN 9783319396002 ISSN 0302-9743 1611-3349 Language eng DOI 10.1007/978-3-319-39601-9_35 Field of Research 080110 Simulation and Modelling 010501 Algebraic Structures In Mathematical Physics 080201 Analysis of Algorithms and Complexity Socio Economic Objective 970109 Expanding Knowledge in Engineering HERDC Research category B1 Book chapter ERA Research output type B Book chapter Copyright notice ©2016, Springer International Switzerland Persistent URL http://hdl.handle.net/10536/DRO/DU:30085653 Document type: Book Chapter Collections: Faculty of Science, Engineering and Built Environment School of Engineering Related Links Link Description   Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Wed, 24 Aug 2016, 14:17:33 EST Wed, 24 Aug 2016, 14:18:03 EST Wed, 24 Aug 2016, 14:24:44 EST Thu, 25 Aug 2016, 05:01:08 EST Thu, 25 Aug 2016, 06:09:29 EST Mon, 17 Oct 2016, 11:15:21 EST Mon, 17 Oct 2016, 11:28:42 EST Mon, 17 Oct 2016, 11:30:26 EST Filtered Full Citation counts:   Cited 3 times in TR Web of Science Cited 4 times in Scopus Search Google Scholar Access Statistics: 396 Abstract Views, 3 File Downloads  -  Detailed Statistics Created: Wed, 24 Aug 2016, 14:24:44 EST

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