Investigation of time-dependent adaptation processes to different running shoe comfort conditions

A time-series-based classification method (kNN) was used to quantify kinematic changes of a shoe’s roll-over process between two repeated runs in different shoe comfort conditions. Data was collected using a gyroscope attached to the shoe. A significant difference between the achieved classification accuracies of both runs was determined. Our results imply that the duration of the adaptation phase to novel shoe conditions influences the measured movement behavior.