Biomechanical P ... Slalom Water Skiing R1.pdf - Atrium - University ...

The lack of statistical significance when comparing the performance between skis wasnot anticipated. However, the power of the statistical analysis could be increased byincreasing the number of human participants. It was not feasible to have collected moredata over one summer but it is expected that once more human participants are used thedata will become stronger. In addition, it should be taken into consideration that only twoski designs be compared in further tests. This will allow for more repetitions of eachactivity throughout the test day and will be easier to detect when one is out performingthe other.5 ConclusionA versatile quantitative data set was produced from the designed instrumentation systemand methodology. The uncontrollable factors that present themselves in the naturalenvironment of slalom water skiing were effectively minimized.The data streams produced from the IMU on the water ski were used to provide ski rollprofiles which could identify left and right turns. A break down of each turn and theacceleration and deceleration data streams were used to identify five phases within aslalom cut and what key performance benchmarks occur during them.During each turn the peak roll, integral of roll, peak acceleration and deceleration, andintegral of acceleration and deceleration were calculated. The ranges for the average ofeach parameter were: 44.52º-59.41º, 67.33º·s-109.401º·s, 5.16 m/s 2 -13.60 m/s 2 , -8.053m/s 2 - -12.46 m/s 2 , 2.07 m/s 2·s – 6.18 m/s 2·s and -4.34 m/s 2·s - -9.26 m/s 2·s. A statistical111