SPMA 225 Jump Squat Analysis
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SPMA 225 JUMP SQUAT ANALYSIS Quinn Keeler, Morgan Kinahan, James Nyce
description
SPMA 225 Jump Squat Analysis. Quinn Keeler, Morgan Kinahan , James Nyce. Hypothesis. Direct linear relationship between jump height over time or the number of jumps performed. Support or Reject Hypothesis?. Our work supports our hypothesis. Sources of Error. Markers. Technique. Time. - PowerPoint PPT Presentation
Transcript of SPMA 225 Jump Squat Analysis
SPMA 225 JUMP SQUAT ANALYSISQuinn Keeler, Morgan Kinahan, James Nyce
Hypothesis
DIRECT LINEAR RELATIONSHIP BETWEEN JUMP HEIGHT OVER TIME
OR THE NUMBER OF JUMPS PERFORMED
Support or Reject Hypothesis?
Our work supports our hypothesis
0 5 10 15 20 25 30 35 400.00
0.05
0.10
0.15
0.20
0.25
0.30
0.35
R² = 0.896467578016279
Jump Height
Jump HieghtLinear (Jump Hieght)
Jump Number
Jum
p He
ight
0 5 10 15 20 25 30 350.06
0.08
0.10
0.12
0.14
0.16
0.18
0.20
R² = 0.640706991738643
Jump Height
Jump Height
Linear (Jump Height)
Moving average (Jump Height)
Jump Number
Jum
p He
ight
Sources of Error
Technique
Time
Markers
Method of Analysis Kinovea
Errors within Microsoft Word/Excel iPhone 4s/5 iSight Camera
Real camera Vs. iPhone Clearer image Better format Easier transfer
Data Collection Excel
Min. Knee Angle Take off Time Landing Time Flight Time Jump Height Usable Jumps (=-9.81*flight time^2/8)
Kinovea Angle analysis Jump time Jump height
James Jumping
Morgan Jumping
Side by Side
Jump at 2.61
(angle 98)
Jump at 40.78Angle 112
James’ Stats
Morgan’s Stats
Graphs
0 5 10 15 20 25 30 35 400.00
0.05
0.10
0.15
0.20
0.25
0.30
0.35
R² = 0.896467578016279
Jump Height
Jump HieghtLinear (Jump Hieght)
Jump Number
Jum
p He
ight
0 5 10 15 20 25 30 350.06
0.08
0.10
0.12
0.14
0.16
0.18
0.20
R² = 0.640706991738643
Jump Height
Jump Height
Linear (Jump Height)
Moving average (Jump Height)
Jump Number
Jum
p He
ight
James Morgan
