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analysis was only able to identify a difference between the ski designs for one of theperformance parameters, peak roll.Statistical analysis was able to identify the expected difference between skiers for all ofthe performance parameters. In addition, based on the success rate results each subjectachieved their expected level of performance. The subject with the highest success ratewas amongst the top three highest for 10 of the 11 performance parameters and thesubject with the lowest success rate was amongst the bottom two in all 11 parameters.The hypothesis that the performance parameters are dependent on each other wassupported by the quantitative results. In the skiers included in this study, those that wereable to produce higher peak roll and integration of roll were able to produce more skiacceleration and deceleration. These same skiers also had a higher success rate in theslalom course.6 AcknowledgementsFor simplicity, all acknowledgements can be found after the main title page of this thesis.7 ReferencesFor simplicity, a master reference list was used and can be found after Chapter 6.112
Chapter 6 – Conclusion and Future Considerations113
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BIOMECHANICAL PERFORMANCE FACTORS O
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AcknowledgmentsI would like to star
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6.1 Conclusion and Future Considera
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83.42º·s and 48.92 º. There was
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List of TablesChapter 4Table 1: Sum
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1.1 The Basics of Water SkiingWater
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deep water start a good performance
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skills in order to be able to ident
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completed their test runs throughou
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1.5 Thesis outlineChapter 2 will pr
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Chapter 2: Literature Review13
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of material can be used as a force
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& Pesty, n.d.; Zang et al., 2004].
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instrumentation system used did not
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allowed them to plot a velocity ver
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Chapter 3: Methods and Instrumentat
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AbstractThere are many challenges w
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is most likely the main reason why
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applicable to dynamic sports [Brodi
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The product chosen that best met th
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ON) that did not require any modifi
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single data collection program that
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Figure 3 - Diagram of slalom course
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for patterns in the data that sugge
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200SU EC ST BTA150Angle (degrees)10
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10050Angle (Degrees)0-50-100-150Pit
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RF communication systems are easily
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The roll profile can be used to det
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Chapter 4: Water Skiing Biomechanic
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AbstractSix advanced slalom skiers
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Recreational and competitive slalom
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Table 1: Summary of human participa
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Figure 2: Diagram of slalom course
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at a rate of 1 Hz (BG-331RGTGT, Mig
Page 71 and 72: adjusted p-value. (SAS Institue Inc
Page 73 and 74: Table 3: Summary of completed turns
Page 75 and 76: Rope load peaks during the cutting
Page 77 and 78: Peak skier velocity for each turn i
Page 79 and 80: 4 DiscussionThere are several varia
Page 81 and 82: trend was seen by Runciman (2011) w
Page 83 and 84: (p=0.2437 and p=0.246). It was expe
Page 85 and 86: velocity and low peak rope load. In
Page 87 and 88: improve the accuracy that a coach e
Page 89 and 90: Chapter 5: Biomechanical Analysis o
Page 91 and 92: AbstractWater skiing has received l
Page 93 and 94: ski manufacturers ability to compar
Page 95 and 96: given about how the effects of the
Page 97 and 98: tip. The IMU housing was wrapped in
Page 99 and 100: (roll, acceleration and deceleratio
Page 101 and 102: decrease. This portion of the turn
Page 103 and 104: Roll, Ski Acceleration and SkierVel
Page 105 and 106: Integral of Roll, Peak Roll (degree
Page 107 and 108: Integral of Roll, Peak Roll (degree
Page 109 and 110: Integral of Deceleration (m/s 2 *s)
Page 111 and 112: Figure 12 shows each ski’s overal
Page 113 and 114: Integral of Acceleration, Peak Acce
Page 115 and 116: Integral of Acceleration, Peak Acce
Page 117 and 118: peak velocity is also occurring at
Page 119 and 120: was not a significant difference be
Page 121: The lack of statistical significanc
Page 125 and 126: The data, in combination with a sta
Page 127 and 128: Bachmann, E.R. (2000). Inertial and
Page 129 and 130: Appendices119
Page 131 and 132: Load Transducer Output (V)0.80.70.6
Page 133 and 134: Skiing Background Information6. How
Page 135 and 136: Section 2 - Follow up surveyPlease
Page 137: Appendix C - Ski Survey ResultsThe
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