Motion Analysis
Analysing the javelin throw
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Javelin throwing is split into four phases; acceleration phase, release preparatory phase, release phase and braking phase (Menzel, 1986)
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Biomechanical analysis of javelin throwers using side viewing has shown that higher ranked elite throwers tend to have the right knee joint more flexed than elite throwers ranked lower in the single support phase. This movement is related to higher release velocity for the javelin. (Morriss and Bartlett, 1996; Murakami et al., 2006)
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The pelvis does rotate but the trunk does not bend forwards at the same time putting the body in a good position to thrust the javelin (Tauchi et al., 2009)
What do we do?
A screenshot of our analysis.
The use of motion analysis software, such as 3D optical capture systems, has become increasingly popular in the world of sports. These tools provide sub-millimetric precision in measuring the movement of the human body, which can help coaches and biomechanics experts improve performance, prevent injuries, and optimize training plans.
Overall, motion analysis software has become an essential tool for coaches, sport scientists, and biomechanics experts to improve performance, prevent injuries, and optimize training plans. Its relatively simple workflow allows them to analyze various sports functions, including cycling, running, golf swing, gait, and vertical jump, providing immediate and visual results
The Process of Analysing
Due to the flexibility of our system, we can both set up our system in your indoor training hall or measure you outside.
- Calibration
The system is calibrated with tha help of a rod that has equally-spaced markers. This makes the readings of the ruslets incridebly accurate with lower than 1mm calibration volume. - Markers
Markers are set up on most of the ligaments on the correct position for the most accurate readings. - Perform the throw
The thrower performs the throw. - Data analysing / Results
We go through the throw and analyse what is happening with the technique you have and what could be better.
A screenshot of our analysis.
