As already described in the main article, the underlying body model, which we defined in step 2, calculates the weights of the individual segments using certain percentages of the total body mass.
In our case we recorded with 100fps, so the time between two frames is 0.01s. To enable the complete data analysis we have to enter two more values: The first is the frame rate, because the program needs the exact time between two frames to later determine the speeds and the derivatives of them (as you know: v = s / t). To check and visualize the calibration, the digitized sequence can be viewed in an animation at this point: Window > New Animation Video Now you have to go back to the movement environment: Digitizing > Mode > Movement We think this a cool feature, which definitely helps to save time. After you have labeled the first frame, the cursor automatically jumps to the position where it expects the corresponding marker in the next frame. This depends on your model and is shown in the bottom right corner of the program (blue arrow). Here you have to select the anatomical landmarks by hand in the given order.
This model consists of 15 single body segments, which are labeled with a total of 18 marker points.Īs calibration method we choose “Default 2D”.ĭigitization of the movement: Digitizing > Mode > Movement
Kinovea body segment names full#
In this case we chose the “Simple Full Body”. SkillSpector already has some built-in biomechanical models that can be used. Select model and calibration method: Sequence > Model Wizard > Simple Full Body > Default 2D We have proceeded as follows: Create a new sequence and load the video to be analyzed: Digitizing > Open Video
Kinovea body segment names how to#
We are going to explain how to use SkillSpector using the athlete’s run-up velocity as an example (we have taken more parameters, but more on this later).
0 kommentar(er)
