Extending an ontology-based personalized dietary recommendation for weightlifting with biomechanical knowledge

Detalhes bibliográficos
Autor(a) principal: Dias, Hugo José Pereira
Data de Publicação: 2015
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: http://hdl.handle.net/1822/49452
Resumo: Dissertação de mestrado integrado em Engenharia Eletrónica Industrial e Computadores (área de especialização em Sistemas Embebidos)
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spelling Extending an ontology-based personalized dietary recommendation for weightlifting with biomechanical knowledgeWeightliftingOntologyBiomechanicsSportsEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e InformáticaDissertação de mestrado integrado em Engenharia Eletrónica Industrial e Computadores (área de especialização em Sistemas Embebidos)On olympic weightlifting, just like on any high level competition or sport athletes are very competitive. World records are being beaten over and over and the winners are decided by details, that until recently were unnoted by the athletes themselves and their managers. The focus of this dissertation is the development of a system to help olympic weightlifting athlete’s to improve their performance and prevent injuries from the biomechanical analysis during the athlete’s training sessions. This dissertation presents a biomechanical ontology using a knowledgebased framework. Over this ontology will be applied a rule-based knowledge specific from olympic weightlifting that relates athlete’s body positions and angles that are collected using an external system during the athlete’s training sessions. From the inferred rules the system can provide information to the athletes and their managers if the athlete is doing the exercise correctly and at same time give some help to prevent injuries. The system includes a database that saves the athlete’s information and all data that is collected during the training sessions. It can be useful to verify the athlete progress comparing the actual and previous data. This work is focused on olympic weightlifting, however it can be used for any kind of sport just by doing some adaptations. This dissertation is a complement of another work focused on nutrition and menus recommendation for weightlifting.Tavares, AdrianoCardoso, PauloUniversidade do MinhoDias, Hugo José Pereira2015-12-222015-12-22T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/1822/49452eng201739747info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-11T06:18:27Zoai:repositorium.sdum.uminho.pt:1822/49452Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T15:48:38.039171Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Extending an ontology-based personalized dietary recommendation for weightlifting with biomechanical knowledge
title Extending an ontology-based personalized dietary recommendation for weightlifting with biomechanical knowledge
spellingShingle Extending an ontology-based personalized dietary recommendation for weightlifting with biomechanical knowledge
Dias, Hugo José Pereira
Weightlifting
Ontology
Biomechanics
Sports
Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
title_short Extending an ontology-based personalized dietary recommendation for weightlifting with biomechanical knowledge
title_full Extending an ontology-based personalized dietary recommendation for weightlifting with biomechanical knowledge
title_fullStr Extending an ontology-based personalized dietary recommendation for weightlifting with biomechanical knowledge
title_full_unstemmed Extending an ontology-based personalized dietary recommendation for weightlifting with biomechanical knowledge
title_sort Extending an ontology-based personalized dietary recommendation for weightlifting with biomechanical knowledge
author Dias, Hugo José Pereira
author_facet Dias, Hugo José Pereira
author_role author
dc.contributor.none.fl_str_mv Tavares, Adriano
Cardoso, Paulo
Universidade do Minho
dc.contributor.author.fl_str_mv Dias, Hugo José Pereira
dc.subject.por.fl_str_mv Weightlifting
Ontology
Biomechanics
Sports
Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
topic Weightlifting
Ontology
Biomechanics
Sports
Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
description Dissertação de mestrado integrado em Engenharia Eletrónica Industrial e Computadores (área de especialização em Sistemas Embebidos)
publishDate 2015
dc.date.none.fl_str_mv 2015-12-22
2015-12-22T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/1822/49452
url http://hdl.handle.net/1822/49452
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 201739747
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dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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