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Development of a mobile application for vertical jump detection

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Development of a mobile application for vertical jump detection

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dc.contributor.advisor Juan Lizandra, María Carmen es_ES
dc.contributor.author Pérez Martín, Ismael es_ES
dc.date.accessioned 2021-10-08T12:16:25Z
dc.date.available 2021-10-08T12:16:25Z
dc.date.created 2021-09-21
dc.date.issued 2021-10-08 es_ES
dc.identifier.uri http://hdl.handle.net/10251/174262
dc.description.abstract [EN] This Master’s Degree final work consists of the development of an Android application to detect a vertical jump through a video and show its data and measurements. The system is intended to be used by people who want to record or improve their vertical jumping ability or otherwise want to evaluate it from a health point of view. This purpose arises from the idea of improving current applications to analyze vertical jump. The idea for improvement comes from the fact that none of the existing applications, even the market leaders, present the possibility of detecting the jump automatically. Thanks to this, the idea arose of creating an application that allows the user to obtain the measurements of their vertical jump in a more automatic way, without having to view a complete video to inform the application when the jump is made. The first idea of this work is to carry out a research work on the tools and methods to detect a vertical jump in a video. This investigation was carried out in this order: a phase of analysis of the different tools for their detection, another phase of analysis of the ways to detect the jump with the chosen tool, a phase of tests to verify that the preestablished precision requirements are reached, and finally, an analysis of the results to establish some guidelines for the performance of the vertical jump. The results obtained from the research are that first, a vertical jump is detectable in a video by analyzing contours and their movements in the Y axis of the frames, the best position to detect it in a video is to stand sideways to the camera, and finally, the best distance to stand from the camera to detect the jump is 120cm. As the final result obtained, the user is offered a system to add videos of vertical jumps through an Android application and that they are processed automatically without their intervention. This processing is responsible for obtaining all the respective measurements to the jump and showing them to the user in a simple way. Finally, a system is provided to the user to view their history of validated jumps together with the measurements and relevant aspects of each of the vertical jumps. es_ES
dc.format.extent 102 es_ES
dc.language Inglés es_ES
dc.publisher Universitat Politècnica de València es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Vertical jump es_ES
dc.subject Computer vision es_ES
dc.subject Android es_ES
dc.subject Automatic detection es_ES
dc.subject Salto vertical es_ES
dc.subject Aplicación móvil es_ES
dc.subject Procesamiento de imágenes es_ES
dc.subject OpenCV es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.subject.other Máster Universitario en Ingeniería Informática-Màster Universitari en Enginyeria Informàtica es_ES
dc.title Development of a mobile application for vertical jump detection es_ES
dc.title.alternative Desarrollo de una aplicación móvil para la detección de saltos verticales es_ES
dc.type Tesis de máster es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica es_ES
dc.description.bibliographicCitation Pérez Martín, I. (2021). Development of a mobile application for vertical jump detection. Universitat Politècnica de València. http://hdl.handle.net/10251/174262 es_ES
dc.description.accrualMethod TFGM es_ES
dc.relation.pasarela TFGM\145935 es_ES


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