Extending an ontology-based personalized dietary recommendation for weightlifting with biomechanical knowledge
Autor(a) principal: | |
---|---|
Data de Publicação: | 2015 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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) |
id |
RCAP_1f439d0d217b2e4203a1f65913f5bb13 |
---|---|
oai_identifier_str |
oai:repositorium.sdum.uminho.pt:1822/49452 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
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:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:31:34Zoai:repositorium.sdum.uminho.pt:1822/49452Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:26:48.971823Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
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 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
_version_ |
1799132756767145984 |