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Estimating 3D orientation of a body segment during running using one inertial sensor and assuming a cyclical nature of the movement

Ferla, Romano (2019) Estimating 3D orientation of a body segment during running using one inertial sensor and assuming a cyclical nature of the movement.

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Abstract:Long distance running involves high risks of injuries for which it is important to identify and detect such risks during running. A sensing system consisting out of inertial sensors is chosen, though these are sensitive to errors. The estimated 3D orientation should be acquired drift free. By exploiting the cyclical behaviour of running, three drift reduction methods are proposed to estimate the 3D orientation. The first method will remove the mean of the angular velocity. The second method rotates the angular velocity first to the axis on the knee perpendicular to the sagittal plane. The third method will set a custom offset on the angular velocity such that the drift is minimized. The results show that exploiting the cyclical behaviour of walking and running can help to reduce the drift when the 3D orientation is estimated. It is shown that the same phases in different gait cycles have a similar estimate of the 3D orientation. A custom offset, for both method 2 as for method 3, delivers the best results. An accuracy of at least 2 degrees can be achieved for both walking and running. It is expected that with this method, sensors can operate individually on any position on the body during running without the need of extensive calibration beforehand.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:53 electrotechnology
Programme:Electrical Engineering BSc (56953)
Link to this item:http://purl.utwente.nl/essays/80159
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