The study to track human arm kinematics applying solutions of Wahba’s problem upon inertial/magnetic sensors

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Abstract

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.

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Sajeewani Karunarathne, M., Nguyen, N. D., Menikidiwela, M. P., & Pathirana, P. N. (2016). The study to track human arm kinematics applying solutions of Wahba’s problem upon inertial/magnetic sensors. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9677, pp. 395–406). Springer Verlag. https://doi.org/10.1007/978-3-319-39601-9_35

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