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Category

Wearable Technology

Document Type

Paper

Abstract

Trainability is a dynamic phenomenon that measures the changes in trainable factors over time. The current study examines whether smoothness evaluation could be considered as a measure of trainability. To this effect a group of nine middle-aged females (average age: 53.38 yrs, average BMI: 24.45kg/m^2 ) were asked to perform step aerobics training for 24 sessions and their kinematic data were captured using an IMU. The smoothness analysis aimed to analyze each step separately using continuous wavelet transform. Jerk cost changes, as an evaluation of smoothness, in 24 sessions in backward direction magnified the differences between the two steps. Lack of symmetry in the smoothness results, indicating that CNS attention is all focused on the leading step to ensure initial stability. To enhance the trainability it is advisable to alternately change the leading step.

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