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It is generally difficult to distinguish between left and right gait events from a lower back-worn IMU. However, some example algorithms exist and it might be nice to have them implemented. A recent one applied a machine learning classifier, and maybe we could do somehting likes this and then compare to the McCamley naive implementation?
It is generally difficult to distinguish between left and right gait events from a lower back-worn IMU. However, some example algorithms exist and it might be nice to have them implemented. A recent one applied a machine learning classifier, and maybe we could do somehting likes this and then compare to the McCamley naive implementation?
https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9630653&tag=1
I guess with Elke's Keep Control and the Mobilise-D dataset, we can validate the left/right assignment easily from the foot-worn IMUs.
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