It is fairly difficult to talk about performance when, if we were to talk about assessment regarding human movement, we are lacking in accessible means of infrastructure, yet to also be valuable enough to make its difference. Of course, this would be a discussion about biomechanics, and even this can be split into two: data extraction and data analysis. This study will be concerned with the extraction of objective data from specific individuals, having only the most accessible means, and to be able to do this on-site. The equipment needed would be two mid-level cameras of at least 50 FPS capacity and white tapes to contrast the black marker as the passive attached markers on the subjects. The software used is Kinovea 9.5 and the extracted data is collected in Microsoft Excel. Once we have collected the data, the analysis can commence and it can be done a a wide variety of manners. To make everything more efficient, all the raw date can be introduced directly within a template created with various programing languages, like let’s mention Python for one, and everything can be done directly through it. In this day and age, if we want to keep pace with the speed of how everything is done, we specialists must adapt too and learn new ways of how to improve our professional skill set.

Data extraction using Kinovea for accessible on-site biomechanical analysis

Isidori E;
2024-01-01

Abstract

It is fairly difficult to talk about performance when, if we were to talk about assessment regarding human movement, we are lacking in accessible means of infrastructure, yet to also be valuable enough to make its difference. Of course, this would be a discussion about biomechanics, and even this can be split into two: data extraction and data analysis. This study will be concerned with the extraction of objective data from specific individuals, having only the most accessible means, and to be able to do this on-site. The equipment needed would be two mid-level cameras of at least 50 FPS capacity and white tapes to contrast the black marker as the passive attached markers on the subjects. The software used is Kinovea 9.5 and the extracted data is collected in Microsoft Excel. Once we have collected the data, the analysis can commence and it can be done a a wide variety of manners. To make everything more efficient, all the raw date can be introduced directly within a template created with various programing languages, like let’s mention Python for one, and everything can be done directly through it. In this day and age, if we want to keep pace with the speed of how everything is done, we specialists must adapt too and learn new ways of how to improve our professional skill set.
2024
9788826446561
Kinovea, Physical Education, movement, Biomechanics
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14244/9484
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