Dynamic loading and kinematics analysis of vertical jump ...
Jump Around...for data analysis
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Transcript of Jump Around...for data analysis
Jump Around...for data analysis
By Mark Matthews, Owen Precious and Ryan Smith
SPMA 225
Hypothesis?
The longer we jumped the better we jumped!
Methodology and Data Analysis
Video analysis› Kinovea for data collection
Organized data with Microsoft Excel
Results
0 5 10 15 20 25 30 35 40 450.00
0.10
0.20
0.30
0.40
0.50
0.60
0.70
0.80
0.90
1.00
R² = NaN
R² = 0.16107896746407
Chart Title
Series1Moving average (Series1)Linear (Series1)
Jump Number
Jump Height (m)
RYAN’S GRAPH
Results
0 5 10 15 20 25 30 35 40 45 500
0.05
0.1
0.15
0.2
0.25
0.3
0.35
R² = NaNR² = 0.441227190789366
Chart Title
Series1Moving average (Series1)Linear (Series1)
Jump Number
Jump Height (m)
OWEN’S GRAPH
Support or Reject?
REJECTED
Jump height and jump technique got worse as time progressed due to fatigue of the jumpers
Source of Error
Our jumping› Not all jumps were done properly
Preparation› Proper jumping attire, out of shape
jumpers, and poor time management Commentary
› Jokes distracted jumper, had to stop and laugh
What could we do Better
Nothing at all, we are perfect! Better prepared
› Better clothes› Stretch
Take it more seriously › No Jokes!
Conclusion
We jumped We got tired
› Lost height› Lost technique› Laughed, cried
Hypothesis rejected
Questions?