BIOMECHANICS
To develop a quantitative and qualitative analysis pattern of a record athletic or a sports activity and identify the major movements of upper and lower extremity through open source motion analysis software .
Developing a quantitative and qualitative analysis pattern of a record athletic or sports activity using open-source motion analysis software is a great way to gain insights into the movements of the upper and lower extremities. Here's a step-by-step guide to achieve this:
Select Open-Source Software: Choose an open-source motion analysis software, we use Kinovea here.
Data Acquisition: Obtain quality video footage of the athletic or sports activity. Ensure that the video is shot from multiple angles to capture the complete range of motion.
Calibration: If using an analysis tool, calibrate the software by adding reference markers to the scene. This allows the software to understand the spatial relationships in the video.
Data Import: Import the video footage into the software. Set the frame rate and resolution appropriately.
Marker Placement: place markers on key anatomical landmarks on the athlete's body. These markers will help the software track the movement of body parts accurately.
Analyze the Video: Use the software to track the motion of the athlete's upper and lower extremities. To perform the following analyses:
Quantitative Analysis: Measure angles, distances, and speeds of limb movements. The software should provide numerical data about joint angles and trajectories.
Qualitative Analysis: Observe the athlete's technique and form. Note any deviations from ideal movements.
Data Visualization: Create visual representations of the motion data. This could be in the form of graphs, stick figure animations, or 3D reconstructions.
Identify Major Movements: Review the data to identify major movements of the upper and lower extremities. This might include actions like running, jumping, throwing, or specific sport-related movements like a tennis serve or basketball dribble.
Iterate: Motion analysis often requires multiple iterations to fine-tune the analysis and improve accuracy.
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RESULT
ANGULAR KINAMATICS
LINEAR KINAMATICS
![](https://www.google.com/images/icons/product/drive-32.png)
LINEAR KINAMATICS
ANGULAR KINAMATICS
RESULT