“Análisis de la velocidad promedio en pruebas de 20 metros, aplicado a niños escolares, utilizando prototipo con sensores y tecnología arduino”
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Fecha
2020
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Universidad de Guayaquil. Facultad de Ciencias Matemáticas y Físicas. Carrera de Ingeniería en Networking y Telecomunicaciones
Resumen
Es muy común emitir criterios o asumir algo sin prueba alguna, decir o aseverar que las cosas son de alguna manera solo porque se escucharon de alguien más o porque infieren que son así por simple lógica, por ejemplo, si comparamos a dos niños, uno de contextura delgada y estatura pequeña, con otro de contextura gruesa y más alto, más de una persona inferirá que el primero ganaría una carrera contra el otro, juzgando simplemente su contextura. Pero ¿Qué hay de cierto en esta aseveración?
El presente trabajo de investigación tiene como finalidad centrarse en el caso anteriormente planteado, evaluando a niños de etapa escolar con diferentes características como: estatura, contextura física, entre otras, esto con el propósito de brindar información sobre estas pruebas, para poder tener bases sólidas al momento de emitir algún criterio o aseverar algo, evitando seguir desinformando a los demás con criterios basados en supuestos, sin información que la respalde.
Para poder cumplir lo planteado se realizarán pruebas en menores de etapa escolar con un chaleco prototipo que emplea tecnología Arduino y sensores, junto a una interfaz en LABVIEW con base de datos desarrollada en ACCESS, que se utilizarán para la toma de muestras, las mismas que serán procesadas en el programa R para su respectivo análisis e interpretación mediante gráficos
It is very common to issue criteria or assume something without any proof, to say or assert that things are somehow only because they were heard from someone else or because they infer that they are so by simple logic, for example, if we compare two children, one of thin build and small stature, with a thick and taller build, more than one person will infer that the former would win a race against the other, simply judging their build. But what is true in this statement? The purpose of this research work is to focus on the case presented above, evaluating school children with different characteristics such as: stature, physical structure, among others, this with the purpose of providing information on these tests, in order to have a solid basis when issuing any criteria or asserting something, avoiding continuing to misinform the other specific criteria in assumptions, without supporting information. In order to comply with the aforementioned, tests will be carried out in children of school stage with a prototype vest that uses Arduino technology and sensors, together with an interface in LABVIEW with database developed in ACCESS, which will be used for sampling, the same which will be processed in the R program for their respective analysis and interpretation through graphics
It is very common to issue criteria or assume something without any proof, to say or assert that things are somehow only because they were heard from someone else or because they infer that they are so by simple logic, for example, if we compare two children, one of thin build and small stature, with a thick and taller build, more than one person will infer that the former would win a race against the other, simply judging their build. But what is true in this statement? The purpose of this research work is to focus on the case presented above, evaluating school children with different characteristics such as: stature, physical structure, among others, this with the purpose of providing information on these tests, in order to have a solid basis when issuing any criteria or asserting something, avoiding continuing to misinform the other specific criteria in assumptions, without supporting information. In order to comply with the aforementioned, tests will be carried out in children of school stage with a prototype vest that uses Arduino technology and sensors, together with an interface in LABVIEW with database developed in ACCESS, which will be used for sampling, the same which will be processed in the R program for their respective analysis and interpretation through graphics
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Sensores, LABVIEW, ACCESS,