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


Autoria(s): Maddumage, M. Sajeewani; Nguyen, Nhan Dang; Menikidiwela, Medhani P.; Pathirana, Pubudu N.
Contribuinte(s)

Chang, Carl K.

Chiari, Lorenzo

Cao, Yu

Jin, Hai

Mokhtari, Mounir

Aloulou, Hamdi

Data(s)

01/01/2016

Resumo

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.

Identificador

http://hdl.handle.net/10536/DRO/DU:30085653

Idioma(s)

eng

Publicador

Springer

Relação

http://dro.deakin.edu.au/eserv/DU:30085653/maddumage-studytotrack-2016.pdf

http://dro.deakin.edu.au/eserv/DU:30085653/maddumage-studytotrack-evid-2016.pdf

Direitos

2016, Springer International Switzerland

Palavras-Chave #wearable sensors #arm activity monitoring #MEMS sensors #Wahba's problem and solutions
Tipo

Book Chapter