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Monitoring lower body motion, especially gait pattern, using low cost Inertial Measurement Units on a daily basis is becoming critically important for the diagnosis and rehabilitation of neurological diseases. The current state of the art algorithm is to double integrate motion acceleration and compensate cumulative errors by resetting velocity signals to zero at the stance-phase of each stride. However,...
This paper proposes a rail defect detection method based on vibration acceleration signals. The vibration signals are generated from the vehicle-track coupling model by inputting different typical rail defect excitations. The empirical mode decomposition method is used to decompose the signal. Intrinsic mode functions that have a big cross-correlation coefficient with the original signal are selected,...
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